Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis

1 July 2024

Papers citing "Learnability in Online Kernel Selection with Memory Constraint via Data-dependent Regret Analysis"

9 / 9 papers shown

Title
Improved Kernel Alignment Regret Bound for Online Kernel Learning Junfan Li Shizhong Liao 88 2 0 26 Dec 2022
Bias no more: high-probability data-dependent regret bounds for adversarial bandits and MDPs Chung-Wei Lee Haipeng Luo Chen-Yu Wei Mengxiao Zhang 74 53 0 14 Jun 2020
More Adaptive Algorithms for Adversarial Bandits Chen-Yu Wei Haipeng Luo 102 182 0 10 Jan 2018
Parameter-free online learning via model selection Dylan J. Foster Satyen Kale M. Mohri Karthik Sridharan 70 60 0 30 Dec 2017
Random Feature-based Online Multi-kernel Learning in Environments with Unknown Dynamics Yanning Shen Tianyi Chen G. Giannakis 45 64 0 28 Dec 2017
Small-loss bounds for online learning with partial information Thodoris Lykouris Karthik Sridharan Éva Tardos 51 41 0 09 Nov 2017
Adaptive Online Learning Dylan J. Foster Alexander Rakhlin Karthik Sridharan 74 51 0 21 Aug 2015
Online Learning with Predictable Sequences Alexander Rakhlin Karthik Sridharan 174 357 0 18 Aug 2012
Fast Bounded Online Gradient Descent Algorithms for Scalable Kernel-Based Online Learning P. Zhao Jialei Wang Pengcheng Wu Rong Jin Guosheng Lin 73 81 0 18 Jun 2012