Song Mei

CoRR, 2024

2023

Mean-field variational inference with the TAP free energy: Geometric and statistical properties in linear models.

[BibT_eX]

[DOI]

CoRR, 2023

How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations.

[BibT_eX]

[DOI]

CoRR, 2023

Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining.

[BibT_eX]

[DOI]

Licong Lin

CoRR, 2023

Deep Networks as Denoising Algorithms: Sample-Efficient Learning of Diffusion Models in High-Dimensional Graphical Models.

[BibT_eX]

[DOI]

Yuchen Wu

CoRR, 2023

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection.

[BibT_eX]

[DOI]

CoRR, 2023

What can a Single Attention Layer Learn? A Study Through the Random Features Lens.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transformers as Statisticians: Provable In-Context Learning with In-Context Algorithm Selection.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lower Bounds for Learning in Revealing POMDPs.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Partially Observable RL with B-Stability: Unified Structural Condition and Sharp Sample-Efficient Algorithms.

[BibT_eX]

[DOI]

Fan Chen

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Fine-grained IoT device identification method based on self-supervised ViT.

[BibT_eX]

[DOI]

Proceedings of the IEEE Intl Conf on Parallel & Distributed Processing with Applications, 2023

2022

Plausible deniability for privacy-preserving data synthesis.

[BibT_eX]

[DOI]

Zhiqiang Ye

CoRR, 2022

A Novel Location Free Link Prediction in Multiplex Social Networks.

[BibT_eX]

[DOI]

Cong Zhen

CoRR, 2022

Near-optimal multiple testing in Bayesian linear models with finite-sample FDR control.

[BibT_eX]

[DOI]

Taejoo Ahn

Licong Lin

CoRR, 2022

Unified Algorithms for RL with Decision-Estimation Coefficients: No-Regret, PAC, and Reward-Free Learning.

[BibT_eX]

[DOI]

Fan Chen

CoRR, 2022

Efficient Φ-Regret Minimization in Extensive-Form Games via Online Mirror Descent.

[BibT_eX]

[DOI]

CoRR, 2022

Sample-Efficient Learning of Correlated Equilibria in Extensive-Form Games.

[BibT_eX]

[DOI]

Ziang Song

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning with convolution and pooling operations in kernel methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Near-Optimal Learning of Extensive-Form Games with Imperfect Information.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

When Can We Learn General-Sum Markov Games with a Large Number of Players Sample-Efficiently?

[BibT_eX]

[DOI]

Ziang Song

Proceedings of the Tenth International Conference on Learning Representations, 2022

The Three Stages of Learning Dynamics in High-dimensional Kernel Methods.

[BibT_eX]

[DOI]

Nikhil Ghosh

Bin Yu

Proceedings of the Tenth International Conference on Learning Representations, 2022

Efficient and Differentiable Conformal Prediction with General Function Classes.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Performance and limitations of the QAOA at constant levels on large sparse hypergraphs and spin glass models.

[BibT_eX]

[DOI]

Proceedings of the 63rd IEEE Annual Symposium on Foundations of Computer Science, 2022

High-Yielding Laccase Strain Breeding and Optimization of Fermentation Conditions.

[BibT_eX]

[DOI]

Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Extraction, Composition Analysis and Blood Lipid Lowering Activity of Rana chensinensis Ovum Oil.

[BibT_eX]

[DOI]

Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Breeding and Efficiency Evaluation of a High-Yielding Cellobiohydrolase Strain.

[BibT_eX]

[DOI]

Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Screening and Efficacy Evaluation of High-Yielding Manganese Peroxidase Strain.

[BibT_eX]

[DOI]

Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

Research on Craft Optimization of Wheat Straw Pretreatment.

[BibT_eX]

[DOI]

Proceedings of the Biomedical and Computational Biology - Second International Symposium, 2022

2021

Local convexity of the TAP free energy and AMP convergence for Z2-synchronization.

[BibT_eX]

[DOI]

Michael Celentano

Zhou Fan

CoRR, 2021

Understanding the Under-Coverage Bias in Uncertainty Estimation.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Exact Gap between Generalization Error and Uniform Convergence in Random Feature Models.

[BibT_eX]

[DOI]

Zitong Yang

Proceedings of the 38th International Conference on Machine Learning, 2021

Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Learning with invariances in random features and kernel models.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2021

Research on the Patriotic Education for College Students in the New Era: Taking the Enhancement of Cultural Confidence as an Example.

[BibT_eX]

[DOI]

Proceedings of the CIPAE 2021: 2nd International Conference on Computers, 2021

2020

When Do Neural Networks Outperform Kernel Methods?

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Limitations of Lazy Training of Two-layers Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2019

Linearized two-layers neural networks in high dimension.

[BibT_eX]

[DOI]

CoRR, 2019

Proximal algorithms for constrained composite optimization, with applications to solving low-rank SDPs.

[BibT_eX]

[DOI]

John C. Duchi

CoRR, 2019

Limitations of Lazy Training of Two-layers Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit.

[BibT_eX]

[DOI]

Proceedings of the Conference on Learning Theory, 2019

2018

A Mean Field View of the Landscape of Two-Layers Neural Networks.

[BibT_eX]

[DOI]

Phan-Minh Nguyen

CoRR, 2018

2017

Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality.

[BibT_eX]

[DOI]

Roberto Imbuzeiro Oliveira

Proceedings of the 30th Conference on Learning Theory, 2017

2015

On a Molecular Based Q-Tensor Model for Liquid Crystals with Density Variations.

[BibT_eX]

[DOI]

Pingwen Zhang

Multiscale Model. Simul., 2015

2009

Session-Based Tunnel Scheduling Model in Multi-link Aggregate IPSec VPN.

[BibT_eX]

[DOI]

Proceedings of the 2009 Third International Conference on Multimedia and Ubiquitous Engineering, 2009

2008

New Well Design of Hydrological Network Information System Based on GIS.

[BibT_eX]

[DOI]