Tong Zhang
Orcid: 0000-0002-5511-2558Affiliations:
- University of Illinois Urbana-Champaign, IL, USA
- Hong Kong University of Science and Technology, China (former)
- Tencent AI Lab, Shenzhen, China (former)
- Rutgers University, Department of Statistics, NJ, USA (former)
- Baidu Inc. Beijing, China (former)
- Yahoo (former)
- IBM T. J. Watson Research Center, Yorktown Heights, NY, USA (former)
- Stanford University, CA, USA (PhD)
According to our database1,
Tong Zhang
authored at least 433 papers
between 1995 and 2024.
Collaborative distances:
Collaborative distances:
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Online presence:
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on orcid.org
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Trans. Mach. Learn. Res., 2024
Nonsmooth Optimization over the Stiefel Manifold and Beyond: Proximal Gradient Method and Recent Variants.
SIAM Rev., 2024
Bridge-Coder: Unlocking LLMs' Potential to Overcome Language Gaps in Low-Resource Code.
CoRR, 2024
Traversing Pareto Optimal Policies: Provably Efficient Multi-Objective Reinforcement Learning.
CoRR, 2024
SmartQuant: CXL-based AI Model Store in Support of Runtime Configurable Weight Quantization.
CoRR, 2024
CoRR, 2024
CoRR, 2024
CoRR, 2024
Distributionally Robust Reinforcement Learning with Interactive Data Collection: Fundamental Hardness and Near-Optimal Algorithm.
CoRR, 2024
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning.
CoRR, 2024
CoRR, 2024
An Improved Analysis of Langevin Algorithms with Prior Diffusion for Non-Log-Concave Sampling.
CoRR, 2024
CoRR, 2024
A Theoretical Analysis of Nash Learning from Human Feedback under General KL-Regularized Preference.
CoRR, 2024
CoRR, 2024
CoRR, 2024
IEEE Access, 2024
Proceedings of the 13th Joint Conference on Lexical and Computational Semantics, 2024
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: System Demonstrations, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Iterative Preference Learning from Human Feedback: Bridging Theory and Practice for RLHF under KL-constraint.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Accelerated Convergence of Stochastic Heavy Ball Method under Anisotropic Gradient Noise.
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the Twelfth International Conference on Learning Representations, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the Computer Vision - ECCV 2024, 2024
Strengthening Multimodal Large Language Model with Bootstrapped Preference Optimization.
Proceedings of the Computer Vision - ECCV 2024, 2024
Proceedings of the Thirty Seventh Annual Conference on Learning Theory, June 30, 2024
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
RAGTruth: A Hallucination Corpus for Developing Trustworthy Retrieval-Augmented Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
Trans. Mach. Learn. Res., 2023
Trans. Mach. Learn. Res., 2023
J. Mach. Learn. Res., 2023
CoRR, 2023
CoRR, 2023
Optimal Sample Selection Through Uncertainty Estimation and Its Application in Deep Learning.
CoRR, 2023
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Corruption-Robust Offline Reinforcement Learning with General Function Approximation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Posterior Sampling for Competitive RL: Function Approximation and Partial Observation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Double Randomized Underdamped Langevin with Dimension-Independent Convergence Guarantee.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
A Theoretical Analysis of Optimistic Proximal Policy Optimization in Linear Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the 2023 ACM SIGPLAN International Symposium on Memory Management, 2023
Corruption-Robust Algorithms with Uncertainty Weighting for Nonlinear Contextual Bandits and Markov Decision Processes.
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the International Conference on Machine Learning, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game.
Proceedings of the Eleventh International Conference on Learning Representations, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Variance-Dependent Regret Bounds for Linear Bandits and Reinforcement Learning: Adaptivity and Computational Efficiency.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Catalyst Acceleration of Error Compensated Methods Leads to Better Communication Complexity.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models' Memories.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
SIAM J. Math. Data Sci., June, 2022
IEEE Trans. Inf. Theory, 2022
Math. Program., 2022
When is the Convergence Time of Langevin Algorithms Dimension Independent? A Composite Optimization Viewpoint.
J. Mach. Learn. Res., 2022
J. Mach. Learn. Res., 2022
CoRR, 2022
Dimension Independent Generalization of DP-SGD for Overparameterized Smooth Convex Optimization.
CoRR, 2022
Nearly Optimal Algorithms for Linear Contextual Bandits with Adversarial Corruptions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Model-based RL with Optimistic Posterior Sampling: Structural Conditions and Sample Complexity.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Pessimistic Minimax Value Iteration: Provably Efficient Equilibrium Learning from Offline Datasets.
Proceedings of the International Conference on Machine Learning, 2022
A Theoretical Analysis on Independence-driven Importance Weighting for Covariate-shift Generalization.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Benefits of Overparameterized Convolutional Residual Networks: Function Approximation under Smoothness Constraint.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the International Conference on Machine Learning, 2022
Eigencurve: Optimal Learning Rate Schedule for SGD on Quadratic Objectives with Skewed Hessian Spectrums.
Proceedings of the Tenth International Conference on Learning Representations, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
Proceedings of the Computer Vision - ECCV 2022, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Non-Linear Reinforcement Learning in Large Action Spaces: Structural Conditions and Sample-efficiency of Posterior Sampling.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Exploiting Hybrid Semantics of Relation Paths for Multi-hop Question Answering over Knowledge Graphs.
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
IEEE Trans. Neural Networks Learn. Syst., 2021
Finite-Sample Analysis for Decentralized Batch Multiagent Reinforcement Learning With Networked Agents.
IEEE Trans. Autom. Control., 2021
A Framework of Composite Functional Gradient Methods for Generative Adversarial Models.
IEEE Trans. Pattern Anal. Mach. Intell., 2021
J. Mach. Learn. Res., 2021
Near Optimal Stochastic Algorithms for Finite-Sum Unbalanced Convex-Concave Minimax Optimization.
CoRR, 2021
CoRR, 2021
Efficient Neural Network Training via Forward and Backward Propagation Sparsification.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
A Provably Efficient Model-Free Posterior Sampling Method for Episodic Reinforcement Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the IEEE International Conference on Acoustics, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Modeling from Features: a Mean-field Framework for Over-parameterized Deep Neural Networks.
Proceedings of the Conference on Learning Theory, 2021
Point, Disambiguate and Copy: Incorporating Bilingual Dictionaries for Neural Machine Translation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021
2020
SIAM J. Optim., 2020
End-to-End Active Object Tracking and Its Real-World Deployment via Reinforcement Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2020
Optim. Methods Softw., 2020
Int. J. Comput. Vis., 2020
PMGT-VR: A decentralized proximal-gradient algorithmic framework with variance reduction.
CoRR, 2020
Multi-modal AsynDGAN: Learn From Distributed Medical Image Data without Sharing Private Information.
CoRR, 2020
Mean-Field Analysis of Two-Layer Neural Networks: Non-Asymptotic Rates and Generalization Bounds.
CoRR, 2020
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems.
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Bridging the Gap between Sample-based and One-shot Neural Architecture Search with BONAS.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Stochastic Recursive Gradient Descent Ascent for Stochastic Nonconvex-Strongly-Concave Minimax Problems.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
How to Characterize The Landscape of Overparameterized Convolutional Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the KDD '20: The 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2020
Guided Learning of Nonconvex Models through Successive Functional Gradient Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
CATCH: Context-Based Meta Reinforcement Learning for Transferrable Architecture Search.
Proceedings of the Computer Vision - ECCV 2020, 2020
Proceedings of the ECAI 2020 - 24th European Conference on Artificial Intelligence, 29 August-8 September 2020, Santiago de Compostela, Spain, August 29 - September 8, 2020, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Joint Chinese Word Segmentation and Part-of-speech Tagging via Two-way Attentions of Auto-analyzed Knowledge.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Utilizing Second Order Information in Minibatch Stochastic Variance Reduced Proximal Iterations.
J. Mach. Learn. Res., 2019
Layer-Wise Learning Strategy for Nonparametric Tensor Product Smoothing Spline Regression and Graphical Models.
J. Mach. Learn. Res., 2019
J. Mach. Learn. Res., 2019
Picasso: A Sparse Learning Library for High Dimensional Data Analysis in R and Python.
J. Mach. Learn. Res., 2019
Multi-objective Neural Architecture Search via Predictive Network Performance Optimization.
CoRR, 2019
Over Parameterized Two-level Neural Networks Can Learn Near Optimal Feature Representations.
CoRR, 2019
DeepSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.
CoRR, 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-Pass Error-Compensated Compression.
CoRR, 2019
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning.
CoRR, 2019
Graph-guided multi-task sparse learning model: a method for identifying antigenic variants of influenza A(H3N2) virus.
Bioinform., 2019
Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning.
IEEE Access, 2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the International Joint Conference on Neural Networks, 2019
DoubleSqueeze: Parallel Stochastic Gradient Descent with Double-pass Error-Compensated Compression.
Proceedings of the 36th International Conference on Machine Learning, 2019
NATTACK: Learning the Distributions of Adversarial Examples for an Improved Black-Box Attack on Deep Neural Networks.
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Proceedings of the 7th International Conference on Learning Representations, 2019
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019
2018
IEEE Trans. Inf. Theory, 2018
Trans. Assoc. Comput. Linguistics, 2018
Math. Program., 2018
Int. J. Softw. Eng. Knowl. Eng., 2018
CoRR, 2018
Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space.
CoRR, 2018
CoRR, 2018
CoRR, 2018
Diffusion Approximations for Online Principal Component Estimation and Global Convergence.
CoRR, 2018
Fine-grained Video Attractiveness Prediction Using Multimodal Deep Learning on a Large Real-world Dataset.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Stochastic Primal-Dual Method for Empirical Risk Minimization with O(1) Per-Iteration Complexity.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
SPIDER: Near-Optimal Non-Convex Optimization via Stochastic Path-Integrated Differential Estimator.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Error Compensated Quantized SGD and its Applications to Large-scale Distributed Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
An Algorithmic Framework of Variable Metric Over-Relaxed Hybrid Proximal Extra-Gradient Method.
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Modeling Varying Camera-IMU Time Offset in Optimization-Based Visual-Inertial Odometry.
Proceedings of the Computer Vision - ECCV 2018, 2018
Unsupervised Image-to-Image Translation with Stacked Cycle-Consistent Adversarial Networks.
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Computer Vision - ECCV 2018, 2018
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018
2017
IEEE Trans. Neural Networks Learn. Syst., 2017
IEEE Trans. Knowl. Data Eng., 2017
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.
J. Mach. Learn. Res., 2017
CoRR, 2017
Improved Optimization of Finite Sums with Minibatch Stochastic Variance Reduced Proximal Iterations.
CoRR, 2017
On Quadratic Convergence of DC Proximal Newton Algorithm for Nonconvex Sparse Learning in High Dimensions.
CoRR, 2017
On Quadratic Convergence of DC Proximal Newton Algorithm in Nonconvex Sparse Learning.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Diffusion Approximations for Online Principal Component Estimation and Global Convergence.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 34th International Conference on Machine Learning, 2017
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017
2016
Accelerated proximal stochastic dual coordinate ascent for regularized loss minimization.
Math. Program., 2016
J. Mach. Learn. Res., 2016
A General Distributed Dual Coordinate Optimization Framework for Regularized Loss Minimization.
CoRR, 2016
Convolutional Neural Networks for Text Categorization: Shallow Word-level vs. Deep Character-level.
CoRR, 2016
Supervised and Semi-Supervised Text Categorization using One-Hot LSTM for Region Embeddings.
CoRR, 2016
CoRR, 2016
Learning Additive Exponential Family Graphical Models via \ell_{2, 1}-norm Regularized M-Estimation.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Generalized Hierarchical Sparse Model for Arbitrary-Order Interactive Antigenic Sites Identification in Flu Virus Data.
Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
2015
Texts in Computer Science, Springer, ISBN: 978-1-4471-6750-1, 2015
CoRR, 2015
CoRR, 2015
CoRR, 2015
Semi-Supervised Learning with Multi-View Embedding: Theory and Application with Convolutional Neural Networks.
CoRR, 2015
Proceedings of the 24th International Conference on World Wide Web, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
Effective Use of Word Order for Text Categorization with Convolutional Neural Networks.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
Proceedings of the 32nd International Conference on Machine Learning, 2015
2014
SIAM J. Optim., 2014
IEEE Trans. Pattern Anal. Mach. Intell., 2014
CoRR, 2014
CoRR, 2014
Adjusting Leverage Scores by Row Weighting: A Practical Approach to Coherent Matrix Completion.
CoRR, 2014
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014
Proceedings of the 20th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of the 31th International Conference on Machine Learning, 2014
Communication-Efficient Distributed Optimization using an Approximate Newton-type Method.
Proceedings of the 31th International Conference on Machine Learning, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
2013
SIAM J. Optim., 2013
J. Mach. Learn. Res., 2013
Accelerating Stochastic Alternating Direction Method of Multipliers with Adaptive Subgradient.
CoRR, 2013
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes.
Proceedings of the 30th International Conference on Machine Learning, 2013
2012
CoRR, 2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
IEEE Trans. Inf. Theory, 2011
IEEE Trans. Inf. Theory, 2011
Integrative Analysis of Many Weighted Co-Expression Networks Using Tensor Computation.
PLoS Comput. Biol., 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Texts in Computer Science 41, Springer, ISBN: 978-1-84996-226-1, 2010
Proceedings of the Handbook of Natural Language Processing, Second Edition., 2010
SIAM J. Optim., 2010
PLoS Comput. Biol., 2010
J. Mach. Learn. Res., 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010
Proceedings of the Computer Vision - ECCV 2010, 2010
2009
ACM Trans. Web, 2009
J. Mach. Learn. Res., 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
IEEE Trans. Inf. Theory, 2008
IEEE Trans. Speech Audio Process., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
2007
ACM Trans. Speech Lang. Process., 2007
J. Mach. Learn. Res., 2007
Proceedings of the SIGIR 2007: Proceedings of the 30th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2007
A General Boosting Method and its Application to Learning Ranking Functions for Web Search.
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
IEEE Trans. Inf. Theory, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Twelfth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
Effectiveness of Meeting Outcomes in Virtual vs. Face-to-Face Teams: A Comparison Study in China.
Proceedings of the Connecting the Americas. 12th Americas Conference on Information Systems, 2006
Proceedings of the ACL 2006, 2006
2005
Neural Comput., 2005
A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data.
J. Mach. Learn. Res., 2005
Proceedings of the Fourteenth Text REtrieval Conference, 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
Proceedings of the ACL 2005, 2005
Proceedings of the ACL 2005, 2005
2004
J. Mach. Learn. Res., 2004
Inf. Process. Manag., 2004
Proceedings of the SIGIR 2004: Proceedings of the 27th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2004
Class-size Independent Generalization Analsysis of Some Discriminative Multi-Category Classification.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2004
Proceedings of the Natural Language Processing, 2004
Solving large scale linear prediction problems using stochastic gradient descent algorithms.
Proceedings of the Machine Learning, 2004
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004
2003
IEEE Trans. Inf. Theory, 2003
J. Mach. Learn. Res., 2003
Greedy Algorithms for Classification -- Consistency, Convergence Rates, and Adaptivity.
J. Mach. Learn. Res., 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the Conference on Empirical Methods in Natural Language Processing, 2003
Proceedings of the Seventh Conference on Natural Language Learning, 2003
Proceedings of the Seventh Conference on Natural Language Learning, 2003
Updating an NLP system to fit new domains: an empirical study on the sentence segmentation problem.
Proceedings of the Seventh Conference on Natural Language Learning, 2003
2002
SIAM J. Matrix Anal. Appl., 2002
Neural Comput., 2002
Mach. Learn., 2002
J. Mach. Learn. Res., 2002
Int. J. Comput. Vis., 2002
IBM Syst. J., 2002
Proceedings of the SIGIR 2002: Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Statistical Behavior and Consistency of Support Vector Machines, Boosting, and Beyond.
Proceedings of the Machine Learning, 2002
Proceedings of the Computational Learning Theory, 2002
2001
Inf. Retr., 2001
AI Mag., 2001
Proceedings of the Knowledge Discovery and Data Mining, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Some Sparse Approximation Bounds for Regression Problems.
Proceedings of the Eighteenth International Conference on Machine Learning (ICML 2001), Williams College, Williamstown, MA, USA, June 28, 2001
A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning.
Proceedings of the Computational Learning Theory, 2001
A Sequential Approximation Bound for Some Sample-Dependent Convex Optimization Problems with Applications in Learning.
Proceedings of the Computational Learning Theory, 2001
Proceedings of the Association for Computational Linguistic, 2001
2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the Advances in Neural Information Processing Systems 13, 2000
Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining, 2000
1999
Some Theoretical Results Concerning the Convergence of Compositions of Regularized Linear Functions.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999
Proceedings of the 1999 Conference on Computer Vision and Pattern Recognition (CVPR '99), 1999
Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999
1998
PhD thesis, 1998
SIAM J. Sci. Comput., 1998
A Linear Algorithm for Optimal Context Clustering with Application to Bi-level Image Coding.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998
Proceedings of the Data Compression Conference, 1998
1997
Proceedings of the Compression and Complexity of SEQUENCES 1997, 1997
1996
1995