Adaptive Online Learning in Dynamic Environments

25 October 2018

Papers citing "Adaptive Online Learning in Dynamic Environments"

50 / 110 papers shown

Title
Non-stationary Online Learning for Curved Losses: Improved Dynamic Regret via Mixability Yu Zhang Peng Zhao Masashi Sugiyama 117 0 0 12 Jun 2025
Non-stationary Bandit Convex Optimization: A Comprehensive Study Xiaoqi Liu Dorian Baudry Julian Zimmert Patrick Rebeschini Arya Akhavan 74 0 0 03 Jun 2025
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning N. Mhaisen George Iosifidis 27 0 0 28 May 2025
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval Wenhao Yang Sifan Yang Lijun Zhang 65 0 0 26 May 2025
Adaptive Estimation and Learning under Temporal Distribution Shift Dheeraj Baby Yifei Tang Hieu Duy Nguyen Yu Wang Rohit Pyati OOD AI4TS 72 0 0 21 May 2025
Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach Dheeraj Baby Boran Han Shuai Zhang Cuixiong Hu Yuyang Wang Yu Wang OOD 97 1 0 09 Apr 2025
VisEscape: A Benchmark for Evaluating Exploration-driven Decision-making in Virtual Escape Rooms Seungwon Lim Sungwoong Kim Jihwan Yu Sungjae Lee Jiwan Chung Youngjae Yu 131 1 0 18 Mar 2025
A Survey of Controllable Learning: Methods and Applications in Information Retrieval Chenglei Shen Xiao Zhang Teng Shi Changshuo Zhang Guofu Xie Jun Xu 153 6 0 03 Jan 2025
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint Juncheng Wang Bingjie Yan Yituo Liu 265 0 0 14 Dec 2024
Near-Optimal Dynamic Regret for Adversarial Linear Mixture MDPs Long-Fei Li Peng Zhao Zhi Zhou 81 1 0 05 Nov 2024
LEARN: An Invex Loss for Outlier Oblivious Robust Online Optimization Adarsh Barik Anand Krishna Vincent Y. F. Tan 50 0 0 12 Aug 2024
Proximal Point Method for Online Saddle Point Problem Qing-xin Meng Jian-wei Liu 69 0 0 05 Jul 2024
Tracking solutions of time-varying variational inequalities Hédi Hadiji Sarah Sachs Cristóbal Guzmán 78 1 0 20 Jun 2024
An Equivalence Between Static and Dynamic Regret Minimization Andrew Jacobsen Francesco Orabona 102 4 0 03 Jun 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously Stephen Pasteris Chris Hicks V. Mavroudis Mark Herbster 116 1 0 31 May 2024
Online Linear Regression in Dynamic Environments via Discounting Andrew Jacobsen Ashok Cutkosky 108 6 0 29 May 2024
Preparing for Black Swans: The Antifragility Imperative for Machine Learning Ming Jin 114 2 0 18 May 2024
From Linear to Linearizable Optimization: A Novel Framework with Applications to Stationary and Non-stationary DR-submodular Optimization M. Pedramfar Vaneet Aggarwal 83 3 0 27 Apr 2024
Regret Analysis of Policy Optimization over Submanifolds for Linearly Constrained Online LQG Ting-Jui Chang Shahin Shahrampour OffRL 69 1 0 13 Mar 2024
Dynamic Environment Responsive Online Meta-Learning with Fairness Awareness Chengli Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Feng Chen 96 7 0 19 Feb 2024
Discounted Adaptive Online Learning: Towards Better Regularization Zhiyu Zhang David Bombara Heng Yang 64 9 0 05 Feb 2024
Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise Kwangjun Ahn Zhiyu Zhang Yunbum Kook Yan Dai 102 14 0 02 Feb 2024
A Stability Principle for Learning under Non-Stationarity Chengpiao Huang Kaizheng Wang 109 3 0 27 Oct 2023
Adaptive, Doubly Optimal No-Regret Learning in Strongly Monotone and Exp-Concave Games with Gradient Feedback Michael I. Jordan Tianyi Lin Zhengyuan Zhou 71 1 0 21 Oct 2023
Safe Non-Stochastic Control of Control-Affine Systems: An Online Convex Optimization Approach Hongyu Zhou Yichen Song Vasileios Tzoumas 87 13 0 28 Sep 2023
Efficient Methods for Non-stationary Online Learning Peng Zhao Yan-Feng Xie Lijun Zhang Zhi Zhou 126 22 0 16 Sep 2023
Online Submodular Maximization via Online Convex Optimization T. Si Salem Gözde Özcan Iasonas Nikolaou Evimaria Terzi Stratis Ioannidis 82 5 0 08 Sep 2023
Universal Online Learning with Gradient Variations: A Multi-layer Online Ensemble Approach Yu-Hu Yan Peng Zhao Zhiguang Zhou 72 9 0 17 Jul 2023
Optimized Gradient Tracking for Decentralized Online Learning Shivangi Sharma K. Rajawat 63 4 0 10 Jun 2023
Unconstrained Online Learning with Unbounded Losses Andrew Jacobsen Ashok Cutkosky 78 18 0 08 Jun 2023
Towards Fair Disentangled Online Learning for Changing Environments Chenxu Zhao Feng Mi Xintao Wu Kai Jiang Latifur Khan Christan Earl Grant Feng Chen 65 15 0 31 May 2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms Dheeraj Baby Saurabh Garg Tzu-Ching Yen Sivaraman Balakrishnan Zachary Chase Lipton Yu Wang 71 8 0 31 May 2023
Non-stationary Online Convex Optimization with Arbitrary Delays Yuanyu Wan Chang Yao Min-Gyoo Song Lijun Zhang 96 3 0 20 May 2023
Non-stationary Projection-free Online Learning with Dynamic and Adaptive Regret Guarantees Yibo Wang Wenhao Yang Wei Jiang Shiyin Lu Bing Wang Haihong Tang Yuanyu Wan Lijun Zhang 116 7 0 19 May 2023
Dynamic Regret Analysis of Safe Distributed Online Optimization for Convex and Non-convex Problems Ting-Jui Chang Sapana Chaudhary D. Kalathil Shahin Shahrampour 102 6 0 23 Feb 2023
Minimizing Dynamic Regret on Geodesic Metric Spaces Zihao Hu Guanghui Wang Jacob D. Abernethy 66 6 0 17 Feb 2023
Improved Dynamic Regret for Online Frank-Wolfe Yuanyu Wan Lijun Zhang Mingli Song 89 11 0 11 Feb 2023
Optimistic Online Mirror Descent for Bridging Stochastic and Adversarial Online Convex Optimization Sijia Chen Yu Zhang Wei-Wei Tu Peng Zhao Lijun Zhang 97 18 0 09 Feb 2023
Optimal Stochastic Non-smooth Non-convex Optimization through Online-to-Non-convex Conversion Ashok Cutkosky Harsh Mehta Francesco Orabona 105 34 0 07 Feb 2023
Adapting to Continuous Covariate Shift via Online Density Ratio Estimation Yu Zhang Zhenyu Zhang Peng Zhao Masashi Sugiyama OOD 85 13 0 06 Feb 2023
Unconstrained Dynamic Regret via Sparse Coding Zhiyu Zhang Ashok Cutkosky I. Paschalidis 139 9 0 31 Jan 2023
On Dynamic Regret and Constraint Violations in Constrained Online Convex Optimization R. Vaze 109 4 0 24 Jan 2023
Optimistically Tempered Online Learning Maxime Haddouche Olivier Wintenberger Benjamin Guedj OnRL 78 1 0 18 Jan 2023
Graph Learning Across Data Silos Xiang Zhang Qiao Wang 212 1 0 17 Jan 2023
Efficient Online Learning with Memory via Frank-Wolfe Optimization: Algorithms with Bounded Dynamic Regret and Applications to Control Hongyu Zhou Zirui Xu Vasileios Tzoumas 140 13 0 02 Jan 2023
Instance-Conditional Timescales of Decay for Non-Stationary Learning Nishant Jain Pradeep Shenoy 94 4 0 12 Dec 2022
Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints Heng Guo Qi Zhu Xin Liu 82 12 0 27 Nov 2022
Adaptive Oracle-Efficient Online Learning Guanghui Wang Zihao Hu Vidya Muthukumar Jacob D. Abernethy 64 4 0 17 Oct 2022
On Accelerated Perceptrons and Beyond Guanghui Wang Rafael Hanashiro E. Guha Jacob D. Abernethy 76 7 0 17 Oct 2022
Online Submodular Coordination with Bounded Tracking Regret: Theory, Algorithm, and Applications to Multi-Robot Coordination Zirui Xu Hongyu Zhou Vasileios Tzoumas 95 9 0 26 Sep 2022