More from the Same Authors

• 2021 : Instance-dependent Offline Reinforcement Learning: From tabular RL to linear MDPs »
  Ming Yin · Yu-Xiang Wang
• 2022 : Generalized PTR: User-Friendly Recipes for Data-Adaptive Algorithms with Differential Privacy »
  Rachel Redberg · Yuqing Zhu · Yu-Xiang Wang
• 2022 : VOTING-BASED APPROACHES FOR DIFFERENTIALLY PRIVATE FEDERATED LEARNING »
  Yuqing Zhu · Xiang Yu · Yi-Hsuan Tsai · Francesco Pittaluga · Masoud Faraki · Manmohan Chandraker · Yu-Xiang Wang
• 2022 : Offline Reinforcement Learning with Closed-Form Policy Improvement Operators »
  Jiachen Li · Edwin Zhang · Ming Yin · Qinxun Bai · Yu-Xiang Wang · William Yang Wang
• 2022 : Offline Policy Evaluation for Reinforcement Learning with Adaptively Collected Data »
  Sunil Madhow · Dan Qiao · Yu-Xiang Wang
• 2022 : Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation »
  Dan Qiao · Yu-Xiang Wang
• 2022 : Differentially Private Gradient Boosting on Linear Learners for Tabular Data »
  Saeyoung Rho · Shuai Tang · Sergul Aydore · Michael Kearns · Aaron Roth · Yu-Xiang Wang · Steven Wu · Cedric Archambeau
• 2022 : Differentially Private Bias-Term only Fine-tuning of Foundation Models »
  Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis
• 2023 Poster: Automatic Clipping: Differentially Private Deep Learning Made Easier and Stronger »
  Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis
• 2023 Poster: Offline Reinforcement Learning with Differential Privacy »
  Dan Qiao · Yu-Xiang Wang
• 2023 Poster: Posterior Sampling with Delayed Feedback for Reinforcement Learning with Linear Function Approximation »
  Lijing Kuang · Ming Yin · Mengdi Wang · Yu-Xiang Wang · Yian Ma
• 2023 Poster: Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms »
  Dheeraj Baby · Saurabh Garg · Tzu-Ching Yen · Sivaraman Balakrishnan · Zachary Lipton · Yu-Xiang Wang
• 2023 Poster: Improving the Privacy and Practicality of Objective Perturbation for Differentially Private Linear Learners »
  Rachel Redberg · Antti Koskela · Yu-Xiang Wang
• 2023 Poster: A Privacy-Friendly Approach to Data Valuation »
  Jiachen T. Wang · Yuqing Zhu · Yu-Xiang Wang · Ruoxi Jia · Prateek Mittal
• 2022 : Contributed Talk: Differentially Private Bias-Term only Fine-tuning of Foundation Models »
  Zhiqi Bu · Yu-Xiang Wang · Sheng Zha · George Karypis
• 2022 : Panel on Privacy and Security in Machine Learning Systems »
  Graham Cormode · Borja Balle · Yu-Xiang Wang · Alejandro Saucedo · Neil Lawrence
• 2022 : Practical differential privacy »
  Yu-Xiang Wang · Fariba Yousefi
• 2022 Poster: SeqPATE: Differentially Private Text Generation via Knowledge Distillation »
  Zhiliang Tian · Yingxiu Zhao · Ziyue Huang · Yu-Xiang Wang · Nevin L. Zhang · He He
• 2022 Poster: Differentially Private Linear Sketches: Efficient Implementations and Applications »
  Fuheng Zhao · Dan Qiao · Rachel Redberg · Divyakant Agrawal · Amr El Abbadi · Yu-Xiang Wang
• 2022 Poster: Optimal Dynamic Regret in LQR Control »
  Dheeraj Baby · Yu-Xiang Wang
• 2021 Workshop: Privacy in Machine Learning (PriML) 2021 »
  Yu-Xiang Wang · Borja Balle · Giovanni Cherubin · Kamalika Chaudhuri · Antti Honkela · Jonathan Lebensold · Casey Meehan · Mi Jung Park · Adrian Weller · Yuqing Zhu
• 2020 Workshop: Privacy Preserving Machine Learning - PriML and PPML Joint Edition »
  Borja Balle · James Bell · Aurélien Bellet · Kamalika Chaudhuri · Adria Gascon · Antti Honkela · Antti Koskela · Casey Meehan · Olga Ohrimenko · Mi Jung Park · Mariana Raykova · Mary Anne Smart · Yu-Xiang Wang · Adrian Weller