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02/06/2023
Offline Learning in Markov Games with General Function Approximation
We study offline multi-agent reinforcement learning (RL) in Markov games...
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10/04/2022
Improved High-Probability Regret for Adversarial Bandits with Time-Varying Feedback Graphs
We study high-probability regret bounds for adversarial K-armed bandits ...
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10/02/2022
Improved Algorithms for Neural Active Learning
We improve the theoretical and empirical performance of neural-network(N...
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08/30/2022
Long-term variation of population exposure to PM2.5 in Eastern China: A perspective from SDG 11.6.2
Air pollution (e.g., PM2.5) has a negative effect on human health. Recen...
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07/17/2022
Streaming Algorithms with Large Approximation Factors
We initiate a broad study of classical problems in the streaming model w...
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09/11/2020
Improving Robustness to Model Inversion Attacks via Mutual Information Regularization
This paper studies defense mechanisms against model inversion (MI) attac...
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08/07/2020
Deep Ordinal Regression Forests
Ordinal regression is a type of regression techniques used for predictin...
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11/17/2019
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
This paper studies model-inversion attacks, in which the access to a mod...
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05/27/2019