Second-order Quantile Methods for Experts and Combinatorial Games

27 February 2015

Papers citing "Second-order Quantile Methods for Experts and Combinatorial Games"

23 / 23 papers shown

Title
Near Optimal Memory-Regret Tradeoff for Online Learning Binghui Peng A. Rubinstein CLL 34 10 0 03 Mar 2023
Optimal Prediction Using Expert Advice and Randomized Littlestone Dimension Yuval Filmus Steve Hanneke Idan Mehalel Shay Moran 31 11 0 27 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang Ashok Cutkosky I. Paschalidis 39 7 0 31 Jan 2023
Modifying Squint for Prediction with Expert Advice in a Changing Environment Thom Neuteboom T. Erven 24 1 0 14 Sep 2022
Bandit Sampling for Multiplex Networks Cenk Baykal Vamsi K. Potluru Sameena Shah Manuela Veloso 11 2 0 08 Feb 2022
Parameter-free Online Linear Optimization with Side Information via Universal Coin Betting Jeonghun Ryu Alankrita Bhatt Young-Han Kim 26 1 0 04 Feb 2022
$$k\texttt{-experts}$ -- Online Policies and Fundamental Limits$ $k\texttt{-experts}$ -- Online Policies and Fundamental Limits S. Mukhopadhyay Sourav Sahoo Abhishek Sinha OffRL 40 8 0 15 Oct 2021
Efficient First-Order Contextual Bandits: Prediction, Allocation, and Triangular Discrimination Dylan J. Foster A. Krishnamurthy 48 43 0 05 Jul 2021
Low-Regret Active learning Cenk Baykal Lucas Liebenwein Dan Feldman Daniela Rus UQCV 41 3 0 06 Apr 2021
CRPS Learning Jonathan Berrisch F. Ziel 48 25 0 01 Feb 2021
Locally-Adaptive Nonparametric Online Learning Ilja Kuzborskij Nicolò Cesa-Bianchi 15 5 0 05 Feb 2020
Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions Lijun Zhang G. Wang Wei-Wei Tu Zhi-Hua Zhou ODL 23 18 0 26 Jun 2019
Model selection for contextual bandits Dylan J. Foster A. Krishnamurthy Haipeng Luo OffRL 34 90 0 03 Jun 2019
Equipping Experts/Bandits with Long-term Memory Kai Zheng Haipeng Luo Ilias Diakonikolas Liwei Wang OffRL 19 15 0 30 May 2019
Lipschitz Adaptivity with Multiple Learning Rates in Online Learning Zakaria Mhammedi Wouter M. Koolen T. Erven 23 34 0 27 Feb 2019
Mixture Martingales Revisited with Applications to Sequential Tests and Confidence Intervals E. Kaufmann Wouter M. Koolen 23 117 0 28 Nov 2018
Best of many worlds: Robust model selection for online supervised learning Vidya Muthukumar Mitas Ray A. Sahai Peter L. Bartlett OffRL 40 8 0 22 May 2018
Online Learning: A Comprehensive Survey Guosheng Lin Doyen Sahoo Jing Lu P. Zhao OffRL 31 634 0 08 Feb 2018
More Adaptive Algorithms for Adversarial Bandits Chen-Yu Wei Haipeng Luo 25 180 0 10 Jan 2018
Parameter-free online learning via model selection Dylan J. Foster Satyen Kale M. Mohri Karthik Sridharan 32 59 0 30 Dec 2017
Tight Lower Bounds for Multiplicative Weights Algorithmic Families N. Gravin Yuval Peres Balasubramanian Sivan 21 16 0 11 Jul 2016
Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning Wouter M. Koolen Peter Grünwald T. Erven 32 37 0 20 May 2016
Optimal learning with Bernstein Online Aggregation Olivier Wintenberger FedML 39 75 0 04 Apr 2014