Optimization
Federated Online Prediction from Experts with Differential Privacy: Separations and Regret Speed-ups
Fed-SVT is nearly optimal up to logarithmic factors.
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
OFUGLB outperforms or is at par with prior algorithms for logistic bandits.
Distributional Successor Features Enable Zero-Shot Policy Optimization
Intelligent agents must be generalists, capable of quickly adapting to various tasks.
The Power of Extrapolation in Federated Learning
In our work, we focus on smooth convex or strongly convex problems in the interpolation regime.
Relational Verification Leaps Forward with RABBit
Code is at this URL.
Randomized Sparse Matrix Compression for Large-Scale Constrained Optimization in Cancer Radiotherapy
In 2020, an estimated 18.1 million new cancer cases and about 9.9 million cancer-related deaths were reported globally [
GLinSA T: The General Linear Satisfiability Neural Network Layer By Accelerated Gradient Descent
Constrained decision-making problems are pervasive across various disciplines.
Direct Preference-Based Evolutionary Multi-Objective Optimization with Dueling Bandits
SOI by directly leveraging human feedback without being restricted by a predefined reward model nor cumbersome model selection.