Summary of Online Learning with Unknown Constraints, by Karthik Sridharan and Seung Won Wilson Yoo
Online Learning with Unknown Constraintsby Karthik Sridharan, Seung Won Wilson YooFirst submitted to arxiv on:…
Summary of Learning Adversarial Mdps with Stochastic Hard Constraints, by Francesco Emanuele Stradi et al.
Learning Adversarial MDPs with Stochastic Hard Constraintsby Francesco Emanuele Stradi, Matteo Castiglioni, Alberto Marchesi, Nicola…
Summary of Chained Information-theoretic Bounds and Tight Regret Rate For Linear Bandit Problems, by Amaury Gouverneur et al.
Chained Information-Theoretic bounds and Tight Regret Rate for Linear Bandit Problemsby Amaury Gouverneur, Borja Rodríguez-Gálvez,…
Summary of Adaptive Learning Rate For Follow-the-regularized-leader: Competitive Analysis and Best-of-both-worlds, by Shinji Ito et al.
Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worldsby Shinji Ito, Taira Tsuchiya, Junya HondaFirst…
Summary of Federated Linear Contextual Bandits with Heterogeneous Clients, by Ethan Blaser et al.
Federated Linear Contextual Bandits with Heterogeneous Clientsby Ethan Blaser, Chuanhao Li, Hongning WangFirst submitted to…
Summary of Real-time Adaptive Safety-critical Control with Gaussian Processes in High-order Uncertain Models, by Yu Zhang et al.
Real-Time Adaptive Safety-Critical Control with Gaussian Processes in High-Order Uncertain Modelsby Yu Zhang, Long Wen,…
Summary of The Smart Approach to Instance-optimal Online Learning, by Siddhartha Banerjee and Alankrita Bhatt and Christina Lee Yu
The SMART approach to instance-optimal online learningby Siddhartha Banerjee, Alankrita Bhatt, Christina Lee YuFirst submitted…
Summary of On the Growth Of Mistakes in Differentially Private Online Learning: a Lower Bound Perspective, by Daniil Dmitriev et al.
On the Growth of Mistakes in Differentially Private Online Learning: A Lower Bound Perspectiveby Daniil…
Summary of Optimistic Information Directed Sampling, by Gergely Neu et al.
Optimistic Information Directed Samplingby Gergely Neu, Matteo Papini, Ludovic SchwartzFirst submitted to arxiv on: 23…
Summary of On the Performance Of Empirical Risk Minimization with Smoothed Data, by Adam Block et al.
On the Performance of Empirical Risk Minimization with Smoothed Databy Adam Block, Alexander Rakhlin, Abhishek…