Research Explorer
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Papers
Trends
Conferences
Explore
Authors
Topics
Keywords
Achievements
About
Methodology
← Optimization
Mathematics & Optimization
›
Optimization
›
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
Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
NIPS 2024
On the Necessity of Collaboration for Online Model Selection with Decentralized Data
NIPS 2024
Online Policy Optimization in Unknown Nonlinear Systems
COLT 2024
On the Optimality of Dilated Entropy and Lower Bounds for Online Learning in Extensive-Form Games
NIPS 2024
Global Rewards in Restless Multi-Armed Bandits
NIPS 2024
Learning to Price Homogeneous Data
NIPS 2024
Continuous Prediction with Experts' Advice
JMLR 2024
Thompson Sampling For Combinatorial Bandits: Polynomial Regret and Mismatched Sampling Paradox
NIPS 2024
A Nearly Optimal and Low-Switching Algorithm for Reinforcement Learning with General Function Approximation
NIPS 2024
Adaptivity and Non-stationarity: Problem-dependent Dynamic Regret for Online Convex Optimization
JMLR 2024
The Predicted-Updates Dynamic Model: Offline, Incremental, and Decremental to Fully Dynamic Transformations
COLT 2024
Learning from Snapshots of Discrete and Continuous Data Streams
NIPS 2024
Optimistic Search: Change Point Estimation for Large-scale Data via Adaptive Logarithmic Queries
JMLR 2024
Adaptive Learning Rate for Follow-the-Regularized-Leader: Competitive Analysis and Best-of-Both-Worlds
COLT 2024
Simple online learning with consistent oracle
COLT 2024
Online Newton Method for Bandit Convex Optimisation Extended Abstract
COLT 2024
Safe Linear Bandits over Unknown Polytopes
COLT 2024
Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds
COLT 2024
Sparse Recovery With Multiple Data Streams: An Adaptive Sequential Testing Approach
JMLR 2024
Strategic Recommendation: Revenue Optimal Matching for Online Platforms (Student Abstract)
AAAI 2024
Welfare Maximization in Perpetual Voting (Student Abstract)
AAAI 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
AAAI 2024
Using Adaptive Bandit Experiments to Increase and Investigate Engagement in Mental Health
AAAI 2024
When will my ML Job finish? Toward providing Completion Time Estimates through Predictability-Centric Scheduling
OSDI 2024
Online Stackelberg Optimization via Nonlinear Control
COLT 2024
<
1
…
9
10
11
…
88
>