'Non-stationary Online Learning with Memory and Non-stochastic Control', by Peng Zhao, Yu-Hu Yan, Yu-Xiang Wang, Zhi-Hua Zhou.
http://jmlr.org/papers/v24/22-0218.html
#stochastic #regret #optimal
Regret Bounds for Satisficing in Multi-Armed Bandit Problems
Thomas Michel, Hossein Hajiabolhassan, Ronald Ortner
Action editor: Branislav Kveton.
DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity
Chung-Yiu Yau, Hoi To Wai
Action editor: Lijun Zhang.
#optimization #optimal #complexity
Sharper Rates and Flexible Framework for Nonconvex SGD with Client and Data Sampling
Partial Optimal Transport for Support Subset Selection
#supervised #transport #optimal
Hello #fedicamp people -
wanna do a workshop but do not know what about:
#optimal #onboarding
is a super hot topic.
[we are already doing 2 workshops, onboarding and federating wikidata were other desires but then it gets tiring …]
/ @m
#onboarding #optimal #fedicamp
DoCoM: Compressed Decentralized Optimization with Near-Optimal Sample Complexity
#optimization #optimal #complexity
Online Min-max Problems with Non-convexity and Non-stationarity
Yu Huang, Yuan Cheng, Yingbin Liang, Longbo Huang
Action editor: Lijun Zhang.
#optimal #optimization #nonconvex
Achieving the Pareto Frontier of Regret Minimization and Best Arm Identification in Multi-Armed Bandits
'Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start', by Riccardo Grazzi, Massimiliano Pontil, Saverio Salzo.
http://jmlr.org/papers/v24/22-1043.html
#minimization #optimization #optimal
#minimization #optimization #optimal
'Optimal Convergence Rates for Distributed Nystroem Approximation', by Jian Li, Yong Liu, Weiping Wang.
http://jmlr.org/papers/v24/21-1049.html
#distributed #ridge #optimal
Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization
Wenjie Li, Chi-Hua Wang, Guang Cheng, Qifan Song
Action editor: Roman Garnett.
#bandits #optimal #optimization
'Dimension Reduction in Contextual Online Learning via Nonparametric Variable Selection', by Wenhao Li, Ningyuan Chen, L. Jeff Hong.
http://jmlr.org/papers/v24/21-0818.html
#lasso #bandit #optimal
Stochastic Constrained DRO with a Complexity Independent of Sample Size
#optimization #optimal #stochastic
Fast Treatment Personalization with Latent Bandits in Fixed-Confidence Pure Exploration
Newton Mwai Kinyanjui, Emil Carlsson, Fredrik D. Johansson
Action editor: Branislav Kveton.
#bandits #exploration #optimal
Optimum-statistical Collaboration Towards General and Efficient Black-box Optimization
#bandits #optimal #optimization
'Kernel-based estimation for partially functional linear model: Minimax rates and randomized sketches', by Shaogao Lv, Xin He, Junhui Wang.
http://jmlr.org/papers/v24/20-1461.html
#kernel #minimax #optimal
Better Theory for SGD in the Nonconvex World
Ahmed Khaled, Peter Richtárik
New #SurveyCertification:
Better Theory for SGD in the Nonconvex World
Ahmed Khaled, Peter Richtárik
#surveycertification #sgd #optimal #stochastic
Fast Treatment Personalization with Latent Bandits in Fixed-Confidence Pure Exploration
#bandits #exploration #optimal