Chicheng Zhang

According to our database, Chicheng Zhang authored at least 38 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits.

Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun

CoRR, 2024

2023

Ensemble-based Interactive Imitation Learning.

Yichen Li, Chicheng Zhang

CoRR, 2023

Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach.

Yinan Li, Chicheng Zhang

CoRR, 2023

Fair Coexistence of Heterogeneous Networks: A Novel Probabilistic Multi-Armed Bandit Approach.

Zhiwu Guo, Chicheng Zhang, Ming Li, Marwan Krunz

Proceedings of the 21st International Symposium on Modeling and Optimization in Mobile, 2023

Kullback-Leibler Maillard Sampling for Multi-armed Bandits with Bounded Rewards.

Hao Qin, Kwang-Sung Jun, Chicheng Zhang

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

2022

Hierarchical Unimodal Bandits.

Tianchi Zhao, Chicheng Zhang, Ming Li

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

On Efficient Online Imitation Learning via Classification.

Yichen Li, Chicheng Zhang

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

PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits.

Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun

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

Active fairness auditing.

Tom Yan, Chicheng Zhang

Proceedings of the International Conference on Machine Learning, 2022

Thompson Sampling for Robust Transfer in Multi-Task Bandits.

Zhi Wang, Chicheng Zhang, Kamalika Chaudhuri

Proceedings of the International Conference on Machine Learning, 2022

Margin-distancing for safe model explanation.

Tom Yan, Chicheng Zhang

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

SIM-ECG: A Signal Importance Mask-driven ECGClassification System.

Dharma KC, Chicheng Zhang, Chris Gniady, Parth Sandeep Agarwal, Sushil Sharma

CoRR, 2021

Improving the trustworthiness of image classification models by utilizing bounding-box annotations.

Dharma KC, Chicheng Zhang

CoRR, 2021

Provably efficient multi-task reinforcement learning with model transfer.

Chicheng Zhang, Zhi Wang

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

Improved Algorithms for Efficient Active Learning Halfspaces with Massart and Tsybakov Noise.

Chicheng Zhang, Yinan Li

Proceedings of the Conference on Learning Theory, 2021

Attribute-Efficient Learning of Halfspaces with Malicious Noise: Near-Optimal Label Complexity and Noise Tolerance.

Jie Shen, Chicheng Zhang

Proceedings of the Algorithmic Learning Theory, 2021

Multitask Bandit Learning Through Heterogeneous Feedback Aggregation.

Zhi Wang, Chicheng Zhang, Manish Kumar Singh, Laurel D. Riek, Kamalika Chaudhuri

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

Active Online Learning with Hidden Shifting Domains.

Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Contextual Bandits with Continuous Actions: Smoothing, Zooming, and Adapting.

Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins, Chicheng Zhang

J. Mach. Learn. Res., 2020

Active Online Domain Adaptation.

Yining Chen, Haipeng Luo, Tengyu Ma, Chicheng Zhang

CoRR, 2020

Efficient active learning of sparse halfspaces with arbitrary bounded noise.

Chicheng Zhang, Jie Shen, Pranjal Awasthi

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

Efficient Contextual Bandits with Continuous Actions.

Maryam Majzoubi, Chicheng Zhang, Rajan Chari, Akshay Krishnamurthy, John Langford, Aleksandrs Slivkins

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

Crush Optimism with Pessimism: Structured Bandits Beyond Asymptotic Optimality.

Kwang-Sung Jun, Chicheng Zhang

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

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.

Jordan T. Ash, Chicheng Zhang, Akshay Krishnamurthy, John Langford, Alekh Agarwal

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Warm-starting Contextual Bandits: Robustly Combining Supervised and Bandit Feedback.

Chicheng Zhang, Alekh Agarwal, Hal Daumé III, John Langford, Sahand Negahban

Proceedings of the 36th International Conference on Machine Learning, 2019

Bandit Multiclass Linear Classification: Efficient Algorithms for the Separable Case.

Alina Beygelzimer, Dávid Pál, Balázs Szörényi, Devanathan Thiruvenkatachari, Chen-Yu Wei, Chicheng Zhang

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Spectral Learning of Binomial HMMs for DNA Methylation Data.

Chicheng Zhang, Eran A. Mukamel, Kamalika Chaudhuri

CoRR, 2018

Efficient active learning of sparse halfspaces.

Chicheng Zhang

Proceedings of the Conference On Learning Theory, 2018

2017

Active Learning and Confidence-rated Prediction.

Chicheng Zhang

PhD thesis, 2017

Revisiting Perceptron: Efficient and Label-Optimal Active Learning of Halfspaces.

Songbai Yan, Chicheng Zhang

CoRR, 2017

Efficient Online Bandit Multiclass Learning with $\tilde{O}(\sqrt{T})$ Regret.

Alina Beygelzimer, Francesco Orabona, Chicheng Zhang

CoRR, 2017

Revisiting Perceptron: Efficient and Label-Optimal Learning of Halfspaces.

Songbai Yan, Chicheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Efficient Online Bandit Multiclass Learning with Õ(√T) Regret.

Alina Beygelzimer, Francesco Orabona, Chicheng Zhang

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Search Improves Label for Active Learning.

Alina Beygelzimer, Daniel J. Hsu, John Langford, Chicheng Zhang

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

The Extended Littlestone's Dimension for Learning with Mistakes and Abstentions.

Chicheng Zhang, Kamalika Chaudhuri

Proceedings of the 29th Conference on Learning Theory, 2016

2015

Spectral Learning of Large Structured HMMs for Comparative Epigenomics.

Chicheng Zhang, Jimin Song, Kamalika Chaudhuri, Kevin C. Chen

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Active Learning from Weak and Strong Labelers.

Chicheng Zhang, Kamalika Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

2014

Beyond Disagreement-Based Agnostic Active Learning.

Chicheng Zhang, Kamalika Chaudhuri

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014