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Methodology
← Optimization
Mathematics & Optimization
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Optimization
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Online Algorithms
2190 directly classified papers
Papers per year
2002: 2
2003: 1
2005: 1
2006: 6
2007: 6
2008: 10
2009: 14
2010: 16
2011: 35
2012: 31
2013: 44
2014: 48
2015: 59
2016: 77
2017: 91
2018: 126
2019: 181
2020: 225
2021: 282
2022: 277
2023: 337
2024: 229
2025: 69
2026: 23
Papers
Thresholding Bandit Problem with Both Duels and Pulls
AISTATS 2020
Adaptive Online Estimation of Piecewise Polynomial Trends
NIPS 2020
Taking a hint: How to leverage loss predictors in contextual bandits?
COLT 2020
Combinatorial Multi-Armed Bandits with Concave Rewards and Fairness Constraints
IJCAI 2020
The Blind Men and the Elephant: Integrated Offline/Online Optimization Under Uncertainty
IJCAI 2020
Online Optimization with Memory and Competitive Control
NIPS 2020
Enabling Programmable Transport Protocols in High-Speed NICs
NSDI 2020
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
ICML 2020
Online Continuous DR-Submodular Maximization with Long-Term Budget Constraints
AISTATS 2020
A single algorithm for both restless and rested rotting bandits
AISTATS 2020
Finding All $\epsilon$-Good Arms in Stochastic Bandits
NIPS 2020
Optimal Algorithms for Multiplayer Multi-Armed Bandits
AISTATS 2020
Online Batch Decision-Making with High-Dimensional Covariates
AISTATS 2020
Learning piecewise Lipschitz functions in changing environments
AISTATS 2020
Adaptive Exploration in Linear Contextual Bandit
AISTATS 2020
Understanding the Effects of Batching in Online Active Learning
AISTATS 2020
The Method of Random Directions Optimization for Stereo Audio Source Separation
INTERSPEECH 2020
Learning Adversarial Markov Decision Processes with Bandit Feedback and Unknown Transition
ICML 2020
Bisection-Based Pricing for Repeated Contextual Auctions against Strategic Buyer
ICML 2020
Optimal Sequential Maximization: One Interview is Enough!
ICML 2020
Optimal Non-parametric Learning in Repeated Contextual Auctions with Strategic Buyer
ICML 2020
When Demands Evolve Larger and Noisier: Learning and Earning in a Growing Environment
ICML 2020
Adapting to Smoothness: A More Universal Algorithm for Online Convex Optimization
AAAI 2020
Efficient Projection-Free Online Methods with Stochastic Recursive Gradient
AAAI 2020
Online Second Price Auction with Semi-Bandit Feedback under the Non-Stationary Setting
AAAI 2020
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