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← Optimization & Theory
Machine Learning
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Optimization & Theory
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Online Algorithms
803 directly classified papers
Papers per year
2001: 1
2002: 1
2003: 2
2006: 4
2007: 6
2008: 4
2009: 9
2010: 6
2011: 21
2012: 22
2013: 40
2014: 42
2015: 24
2016: 32
2017: 36
2018: 33
2019: 53
2020: 87
2021: 90
2022: 75
2023: 91
2024: 102
2025: 21
2026: 1
Papers
TS-UCB: Improving on Thompson Sampling With Little to No Additional Computation
AISTATS 2023
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
ICML 2023
Infinite Action Contextual Bandits with Reusable Data Exhaust
ICML 2023
Minimalistic Predictions to Schedule Jobs with Online Precedence Constraints
ICML 2023
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online Ensembling
NIPS 2023
Learning to Boost Training by Periodic Nowcasting Near Future Weights
ICML 2023
Unconstrained Online Learning with Unbounded Losses
ICML 2023
Learning to Incentivize Information Acquisition: Proper Scoring Rules Meet Principal-Agent Model
ICML 2023
Coordinated Dynamic Bidding in Repeated Second-Price Auctions with Budgets
ICML 2023
The Gain from Ordering in Online Learning
NIPS 2023
Best Arm Identification in Multi-Agent Multi-Armed Bandits
ICML 2023
Bandit Multi-linear DR-Submodular Maximization and Its Applications on Adversarial Submodular Bandits
ICML 2023
Optimal Rates and Efficient Algorithms for Online Bayesian Persuasion
ICML 2023
Fast Online Node Labeling for Very Large Graphs
ICML 2023
Online Corrupted User Detection and Regret Minimization
NIPS 2023
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits
AISTATS 2023
On the convergence of the MLE as an estimator of the learning rate in the Exp3 algorithm
ICML 2023
No-Regret Online Prediction with Strategic Experts
NIPS 2023
Online switching control with stability and regret guarantees
L4DC 2023
Competing against Adaptive Strategies in Online Learning via Hints
AISTATS 2023
Nearly Optimal Algorithms with Sublinear Computational Complexity for Online Kernel Regression
ICML 2023
Speed-Oblivious Online Scheduling: Knowing (Precise) Speeds is not Necessary
ICML 2023
Optimism and Delays in Episodic Reinforcement Learning
AISTATS 2023
Treepiece: Faster Semantic Parsing via Tree Tokenization
EMNLP 2023
Regret Guarantees for Online Deep Control
L4DC 2023
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