Best of Both Worlds Model Selection

29 June 2022

Papers citing "Best of Both Worlds Model Selection"

10 / 10 papers shown

Title
Offline-to-online hyperparameter transfer for stochastic bandits Dravyansh Sharma Arun Sai Suggala OffRL 25 1 0 06 Jan 2025
A Model Selection Approach for Corruption Robust Reinforcement Learning Chen-Yu Wei Christoph Dann Julian Zimmert 85 44 0 31 Dec 2024
Personalized Federated Learning with Mixture of Models for Adaptive Prediction and Model Fine-Tuning P. M. Ghari Yanning Shen FedML 25 1 0 28 Oct 2024
Sparsity-Agnostic Linear Bandits with Adaptive Adversaries Tianyuan Jin Kyoungseok Jang Nicolò Cesa-Bianchi 33 1 0 03 Jun 2024
$A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $Θ(T^{2/3})$ and its Application to Best-of-Both-Worlds$ A Simple and Adaptive Learning Rate for FTRL in Online Learning with Minimax Regret of $Θ(T^{2/3})$ and its Application to Best-of-Both-Worlds Taira Tsuchiya Shinji Ito 26 0 0 30 May 2024
Budgeted Online Model Selection and Fine-Tuning via Federated Learning P. M. Ghari Yanning Shen FedML 46 1 0 19 Jan 2024
Best-of-Both-Worlds Algorithms for Linear Contextual Bandits Yuko Kuroki Alberto Rumi Taira Tsuchiya Fabio Vitale Nicolò Cesa-Bianchi 36 5 0 24 Dec 2023
Data-Driven Online Model Selection With Regret Guarantees Aldo Pacchiano Christoph Dann Claudio Gentile OffRL 16 3 0 05 Jun 2023
A Blackbox Approach to Best of Both Worlds in Bandits and Beyond Christoph Dann Chen-Yu Wei Julian Zimmert 24 22 0 20 Feb 2023
Model Selection in Contextual Stochastic Bandit Problems Aldo Pacchiano My Phan Yasin Abbasi-Yadkori Anup B. Rao Julian Zimmert Tor Lattimore Csaba Szepesvári 16 93 0 03 Mar 2020