research
∙
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...
share
research
∙
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...
research
∙
02/03/2021
Quadratic Signaling Games with Channel Combining Ratio
In this study, Nash and Stackelberg equilibria of single-stage and multi...
research
∙
01/22/2021
Tighter expected generalization error bounds via Wasserstein distance
In this work, we introduce several expected generalization error bounds ...
research
∙
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...
research
∙
06/17/2020
Region-based Energy Neural Network for Approximate Inference
Region-based free energy was originally proposed for generalized belief ...
research
∙
06/11/2020
A Variational Approach to Privacy and Fairness
In this article, we propose a new variational approach to learn private ...
research
∙
11/25/2019
The Convex Information Bottleneck Lagrangian
The information bottleneck (IB) problem tackles the issue of obtaining r...
research
∙
03/05/2019
Multi-tone Signal Optimization for Wireless Power Transfer in the Presence of Wireless Communication Links
In this paper, we study optimization of multi-tone signals for wireless ...
research
∙
06/27/2018
