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07/20/2023
The Role of Entropy and Reconstruction in Multi-View Self-Supervised Learning
The mechanisms behind the success of multi-view self-supervised learning...
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06/21/2023
More PAC-Bayes bounds: From bounded losses, to losses with general tail behaviors, to anytime-validity
In this paper, we present new high-probability PAC-Bayes bounds for diff...
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04/26/2023
Thompson Sampling Regret Bounds for Contextual Bandits with sub-Gaussian rewards
In this work, we study the performance of the Thompson Sampling algorith...
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12/27/2022
Limitations of Information-Theoretic Generalization Bounds for Gradient Descent Methods in Stochastic Convex Optimization
To date, no "information-theoretic" frameworks for reasoning about gener...
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07/18/2022
An Information-Theoretic Analysis of Bayesian Reinforcement Learning
Building on the framework introduced by Xu and Raginksy [1] for supervis...
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09/17/2021
Enforcing fairness in private federated learning via the modified method of differential multipliers
Federated learning with differential privacy, or private federated learn...
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01/22/2021
Tighter expected generalization error bounds via Wasserstein distance
In this work, we introduce several expected generalization error bounds ...
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10/21/2020
On Random Subset Generalization Error Bounds and the Stochastic Gradient Langevin Dynamics Algorithm
In this work, we unify several expected generalization error bounds base...
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06/11/2020
A Variational Approach to Privacy and Fairness
In this article, we propose a new variational approach to learn private ...
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05/12/2020
Upper Bounds on the Generalization Error of Private Algorithms
In this work, we study the generalization capability of algorithms from ...
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11/25/2019
