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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
Improved Regret Bounds for Online Fair Division with Bandit Learning
AAAI 2025
Automatic Selection of Macro-Events for Heuristic-Search Temporal Planning
AAAI 2025
Trade-Offs Between Information and Crowding in Sequential Decisions (Student Abstract)
AAAI 2025
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition
IJCAI 2025
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions
IJCAI 2025
Smoothed Online Convex Optimization with Delayed Feedback
IJCAI 2025
Causal Learning Meet Covariates: Empowering Lightweight and Effective Nationwide Air Quality Forecasting
IJCAI 2025
Cap-and-Penalize: Competitive Mechanisms for Multi-Phase Regularized Online Allocation
IJCAI 2025
Heterogeneous Multi-Agent Bandits with Parsimonious Hints
AAAI 2025
Linear Streaming Bandit: Regret Minimization and Fixed-Budget Epsilon-Best Arm Identification
AAAI 2025
Interval Selection with Binary Predictions
IJCAI 2025
Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency
IJCAI 2025
Attractor-based Closed List Search: Sparsifying the Closed List for Efficient Memory-Constrained Planning
IJCAI 2025
Distance Preservation Games
IJCAI 2025
More Efforts Towards Fixed-Parameter Approximability of Multiwinner Rules
IJCAI 2025
A Game-Theoretic Perspective on Inconsistency Handling
IJCAI 2025
A Survey on Bandit Learning in Matching Markets
IJCAI 2025
Near-Optimal Policy Optimization for Correlated Equilibrium in General-Sum Markov Games
AISTATS 2024
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
NIPS 2024
How Does Variance Shape the Regret in Contextual Bandits?
NIPS 2024
Regret Analysis of Policy Gradient Algorithm for Infinite Horizon Average Reward Markov Decision Processes
AAAI 2024
Intrinsic Robustness of Prophet Inequality to Strategic Reward Signaling
NIPS 2024
Efficiency of the First-Price Auction in the Autobidding World
NIPS 2024
Approximating the Top Eigenvector in Random Order Streams
NIPS 2024
Optimal Multi-Fidelity Best-Arm Identification
NIPS 2024
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