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← Optimization & Theory
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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
DFDT: Dynamic Fast Decision Tree for IoT Data Stream Mining on Edge Devices
AAAI 2026
Improved Regret Bounds for Online Fair Division with Bandit Learning
AAAI 2025
Multiple Trade-offs: An Improved Approach for Lexicographic Linear Bandits
AAAI 2025
Smoothed Online Convex Optimization with Delayed Feedback
IJCAI 2025
Voting or Consensus? Decision-Making in Multi-Agent Debate
ACL 2025
Distribution-Aware Online Learning for Urban Spatiotemporal Forecasting on Streaming Data
IJCAI 2025
Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs
AAAI 2025
Adaptive Market Making with Inventory Constraints via Online Learning
AAAI 2025
Online Quantile Regression
JMLR 2025
Problem-dependent Regret for Lexicographic Multi-Armed Bandits with Adversarial Corruptions
IJCAI 2025
Online MDP with Prototypes Information: A Robust Adaptive Approach
AAAI 2025
Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint
AAAI 2025
Nearly Tight Bounds for Exploration in Streaming Multi-Armed Bandits with Known Optimality Gap
AAAI 2025
Lexicographic Lipschitz Bandits: New Algorithms and a Lower Bound
JMLR 2025
Lossless Acceleration of Large Language Models with Hierarchical Drafting based on Temporal Locality in Speculative Decoding
NAACL 2025
Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
AAAI 2025
Efficient Methods for Non-stationary Online Learning
JMLR 2025
Contextual Bandits with Stage-wise Constraints
JMLR 2025
Temporal-aware Query Routing for Real-time Video Instance Segmentation
ICCV 2025
CompileAgent: Automated Real-World Repo-Level Compilation with Tool-Integrated LLM-based Agent System
ACL 2025
Multi-player Multi-armed Bandits with Delayed Feedback
IJCAI 2025
Fast Second-Order Online Kernel Learning Through Incremental Matrix Sketching and Decomposition
IJCAI 2025
New Classes of the Greedy-Applicable Arm Feature Distributions in the Sparse Linear Bandit Problem
AAAI 2024
Learning to Price Homogeneous Data
NIPS 2024
Improved Bandits in Many-to-One Matching Markets with Incentive Compatibility
AAAI 2024
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