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1909.05207
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Introduction to Online Convex Optimization
7 September 2019
Elad Hazan
OffRL
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Papers citing
"Introduction to Online Convex Optimization"
42 / 42 papers shown
Title
Discounted Online Convex Optimization: Uniform Regret Across a Continuous Interval
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Improved and Oracle-Efficient Online
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-Multicalibration
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Vidya Muthukumar
Sahil Singla
140
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23 May 2025
Mirror Online Conformal Prediction with Intermittent Feedback
Bowen Wang
Matteo Zecchin
Osvaldo Simeone
CLL
197
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0
13 Mar 2025
Steering No-Regret Agents in MFGs under Model Uncertainty
Leo Widmer
Jiawei Huang
Niao He
LLMSV
116
1
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12 Mar 2025
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs
Zhaowei Zhang
Fengshuo Bai
Qizhi Chen
Chengdong Ma
Mingzhi Wang
Haoran Sun
Zilong Zheng
Yaodong Yang
133
5
0
26 Feb 2025
Online Planning of Power Flows for Power Systems Against Bushfires Using Spatial Context
Jianyu Xu
Qiuzhuang Sun
Yang Yang
Huadong Mo
Daoyi Dong
217
0
0
24 Feb 2025
An Enhanced Zeroth-Order Stochastic Frank-Wolfe Framework for Constrained Finite-Sum Optimization
Haishan Ye
Yinghui Huang
Hao Di
Xiangyu Chang
126
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0
13 Jan 2025
Online Algorithm for Aggregating Experts' Predictions with Unbounded Quadratic Loss
Alexander Korotin
V. Výugin
Evgeny Burnaev
89
1
0
11 Jan 2025
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint
Juncheng Wang
Bingjie Yan
Yituo Liu
236
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14 Dec 2024
Soft Condorcet Optimization for Ranking of General Agents
Marc Lanctot
Kate Larson
Michael Kaisers
Quentin Berthet
I. Gemp
Manfred Diaz
Roberto-Rafael Maura-Rivero
Yoram Bachrach
Anna Koop
Doina Precup
227
0
0
31 Oct 2024
Online Detection of LLM-Generated Texts via Sequential Hypothesis Testing by Betting
Can Chen
Jun-Kun Wang
DeLMO
127
0
0
29 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
Jinghan Jia
Jiancheng Liu
Yihua Zhang
Parikshit Ram
Nathalie Baracaldo
Sijia Liu
MU
139
8
0
23 Oct 2024
The Benefit of Being Bayesian in Online Conformal Prediction
Zhiyu Zhang
Zhou Lu
Heng Yang
158
3
0
03 Oct 2024
Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits
Mengmeng Li
Daniel Kuhn
Bahar Taşkesen
100
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0
30 Sep 2024
Faster Acceleration for Steepest Descent
Site Bai
Brian Bullins
ODL
77
1
0
28 Sep 2024
Online Optimization for Learning to Communicate over Time-Correlated Channels
Zheshun Wu
Junfan Li
Zenglin Xu
Sumei Sun
Jie Liu
87
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0
01 Sep 2024
Infrequent Resolving Algorithm for Online Linear Programming
Guokai Li
Yuan Wang
Mingjie Li
75
1
0
01 Aug 2024
CONGO: Compressive Online Gradient Optimization
Jeremy Carleton
Prathik Vijaykumar
Divyanshu Saxena
Dheeraj Narasimha
Srinivas Shakkottai
Aditya Akella
85
0
0
08 Jul 2024
Simultaneous System Identification and Model Predictive Control with No Dynamic Regret
Hongyu Zhou
Vasileios Tzoumas
136
4
0
04 Jul 2024
Private Online Learning via Lazy Algorithms
Hilal Asi
Tomer Koren
Daogao Liu
Kunal Talwar
183
1
0
05 Jun 2024
A fast algorithm to minimize prediction loss of the optimal solution in inverse optimization problem of MILP
Akira Kitaoka
78
0
0
23 May 2024
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi Zhou
95
22
0
16 Sep 2023
SLowcal-SGD: Slow Query Points Improve Local-SGD for Stochastic Convex Optimization
Kfir Y. Levy
Kfir Y. Levy
FedML
88
3
0
09 Apr 2023
Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback
Boxin Zhao
Lingxiao Wang
Mladen Kolar
Ziqi Liu
Qing Cui
Jun Zhou
Chaochao Chen
FedML
116
11
0
28 Dec 2021
A Primer on Zeroth-Order Optimization in Signal Processing and Machine Learning
Sijia Liu
Pin-Yu Chen
B. Kailkhura
Gaoyuan Zhang
A. Hero III
P. Varshney
72
235
0
11 Jun 2020
Simultaneously Learning Stochastic and Adversarial Episodic MDPs with Known Transition
Tiancheng Jin
Haipeng Luo
80
57
0
10 Jun 2020
Adaptive Sampling for Stochastic Risk-Averse Learning
Sebastian Curi
Kfir Y. Levy
Stefanie Jegelka
Andreas Krause
118
54
0
28 Oct 2019
Efficient Regret Minimization Algorithm for Extensive-Form Correlated Equilibrium
Gabriele Farina
Chun Kai Ling
Fei Fang
Tuomas Sandholm
51
15
0
28 Oct 2019
Parallel Streaming Wasserstein Barycenters
Matthew Staib
Sebastian Claici
Justin Solomon
Stefanie Jegelka
80
89
0
21 May 2017
Optimal Black-Box Reductions Between Optimization Objectives
Zeyuan Allen-Zhu
Elad Hazan
86
96
0
17 Mar 2016
Online Linear Optimization via Smoothing
Jacob D. Abernethy
Chansoo Lee
Abhinav Sinha
Ambuj Tewari
128
78
0
23 May 2014
Relative Loss Bounds for On-line Density Estimation with the Exponential Family of Distributions
Katy S. Azoury
Manfred K. Warmuth
162
324
0
23 Jan 2013
Stochastic Gradient Descent for Non-smooth Optimization: Convergence Results and Optimal Averaging Schemes
Ohad Shamir
Tong Zhang
160
576
0
08 Dec 2012
Block-Coordinate Frank-Wolfe Optimization for Structural SVMs
Simon Lacoste-Julien
Martin Jaggi
Mark Schmidt
Patrick A. Pletscher
138
366
0
19 Jul 2012
Online Bandit Learning against an Adaptive Adversary: from Regret to Policy Regret
R. Arora
O. Dekel
Ambuj Tewari
OffRL
91
196
0
27 Jun 2012
Projection-free Online Learning
Elad Hazan
Satyen Kale
107
248
0
18 Jun 2012
On the Equivalence between Herding and Conditional Gradient Algorithms
Francis R. Bach
Simon Lacoste-Julien
G. Obozinski
182
169
0
20 Mar 2012
Making Gradient Descent Optimal for Strongly Convex Stochastic Optimization
Alexander Rakhlin
Ohad Shamir
Karthik Sridharan
171
768
0
26 Sep 2011
Large-Scale Convex Minimization with a Low-Rank Constraint
Shai Shalev-Shwartz
Alon Gonen
Ohad Shamir
91
160
0
08 Jun 2011
Sublinear Optimization for Machine Learning
K. Clarkson
Elad Hazan
David P. Woodruff
84
139
0
21 Oct 2010
Adaptive Bound Optimization for Online Convex Optimization
H. B. McMahan
Matthew J. Streeter
ODL
107
391
0
26 Feb 2010
Collaborative Filtering in a Non-Uniform World: Learning with the Weighted Trace Norm
Ruslan Salakhutdinov
Nathan Srebro
158
235
0
14 Feb 2010
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