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2006.07503
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Temporal Variability in Implicit Online Learning
Neural Information Processing Systems (NeurIPS), 2020
12 June 2020
Nicolò Campolongo
Francesco Orabona
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Papers citing
"Temporal Variability in Implicit Online Learning"
18 / 18 papers shown
Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation
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Proximal Point Method for Online Saddle Point Problem
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Jian-wei Liu
380
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05 Jul 2024
Nearly Minimax Optimal Regret for Multinomial Logistic Bandit
Neural Information Processing Systems (NeurIPS), 2024
Joongkyu Lee
Min-hwan Oh
445
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16 May 2024
Online Saddle Point Problem and Online Convex-Concave Optimization
Qing-xin Meng
Jianwei Liu
286
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12 Dec 2023
Implicit Interpretation of Importance Weight Aware Updates
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Francesco Orabona
169
0
0
22 Jul 2023
Generalized Implicit Follow-The-Regularized-Leader
International Conference on Machine Learning (ICML), 2023
Keyi Chen
Francesco Orabona
FedML
240
3
0
31 May 2023
Adapting to Online Label Shift with Provable Guarantees
Neural Information Processing Systems (NeurIPS), 2022
Yong Bai
Yu Zhang
Peng Zhao
Masashi Sugiyama
Zhi Zhou
OOD
436
42
0
05 Jul 2022
Efficient algorithms for implementing incremental proximal-point methods
Mathematical Programming Computation (MPC), 2022
A. Shtoff
301
2
0
03 May 2022
Adaptive Composite Online Optimization: Predictions in Static and Dynamic Environments
IEEE Transactions on Automatic Control (TAC), 2022
Pedro Zattoni Scroccaro
Arman Sharifi Kolarijani
Peyman Mohajerin Esfahani
348
12
0
01 May 2022
Implicit Parameter-free Online Learning with Truncated Linear Models
International Conference on Algorithmic Learning Theory (ALT), 2022
Keyi Chen
Ashok Cutkosky
Francesco Orabona
226
12
0
19 Mar 2022
Parameter-free Mirror Descent
Annual Conference Computational Learning Theory (COLT), 2022
Andrew Jacobsen
Ashok Cutkosky
566
46
0
26 Feb 2022
Understanding AdamW through Proximal Methods and Scale-Freeness
Zhenxun Zhuang
Mingrui Liu
Ashok Cutkosky
Francesco Orabona
343
113
0
31 Jan 2022
Isotuning With Applications To Scale-Free Online Learning
Laurent Orseau
Marcus Hutter
369
6
0
29 Dec 2021
Improving Dynamic Regret in Distributed Online Mirror Descent Using Primal and Dual Information
Conference on Learning for Dynamics & Control (L4DC), 2021
Nima Eshraghi
Ben Liang
390
11
0
07 Dec 2021
Online Continual Adaptation with Active Self-Training
International Conference on Artificial Intelligence and Statistics (AISTATS), 2021
Shiji Zhou
Han Zhao
Shanghang Zhang
Lianzhe Wang
Heng Chang
Zhi Wang
Wenwu Zhu
CLL
195
14
0
11 Jun 2021
A closer look at temporal variability in dynamic online learning
Nicolò Campolongo
Francesco Orabona
148
15
0
15 Feb 2021
Meta-strategy for Learning Tuning Parameters with Guarantees
Entropy (Entropy), 2021
Dimitri Meunier
Pierre Alquier
298
9
0
04 Feb 2021
Relaxing the I.I.D. Assumption: Adaptively Minimax Optimal Regret via Root-Entropic Regularization
Annals of Statistics (Ann. Stat.), 2020
Blair Bilodeau
Jeffrey Negrea
Daniel M. Roy
347
11
0
13 Jul 2020
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