Optimization & Theory
43,292 papers (3 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Optimization (17,731)
Learning Theory (6,809)
Bayesian Inference (6,267)
Theory (5,579)
Statistical Learning (4,564)
Neural Network Optimization (4,155)
Stochastic Processes (2,948)
Stochastic Methods (1,283)
Loss Functions (1,220)
Distributed Learning (1,202)
Online Algorithms (1,013)
Statistics (822)
Generalization (376)
Information Theory (370)
Sample Complexity (282)
Sparse Optimization (241)
Game Theory (151)
Convex Optimization (132)
Optimal Transport (104)
Robust Optimization (84)
Distributed Optimization (73)
Approximation Algorithms (33)
Papers per year
1
14
29
44
31
52
189
195
212
235
352
382
457
787
816
828
1,066
1,391
1,913
3,012
3,646
4,303
4,450
5,357
6,155
5,854
1,521
2000
'5
'10
'15
'20
'25
Papers (including subtopics)
Online conformal prediction with decaying step sizes
ICML 2024
Online Consistency of the Nearest Neighbor Rule
NeurIPS 2024
Online Control with Adversarial Disturbance for Continuous-time Linear Systems
NeurIPS 2024
Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback
AAAI 2024
Online Convex Optimisation: The Optimal Switching Regret for all Segmentations Simultaneously
NeurIPS 2024
Online Distribution Learning with Local Privacy Constraints
AISTATS 2024
Online Estimation via Offline Estimation: An Information-Theoretic Framework
NeurIPS 2024
Online Information Acquisition: Hiring Multiple Agents
ICLR 2024
Online Learning and Information Exponents: The Importance of Batch size & Time/Complexity Tradeoffs
ICML 2024
Online learning in bandits with predicted context
AISTATS 2024
Online Learning in Betting Markets: Profit versus Prediction
ICML 2024
Online Learning in Contextual Second-Price Pay-Per-Click Auctions
AISTATS 2024
Online Learning of Capacity-Based Preference Models
IJCAI 2024
Online Learning of Decision Trees with Thompson Sampling
AISTATS 2024
Online Learning of Delayed Choices
NeurIPS 2024
Online Learning under Budget and ROI Constraints via Weak Adaptivity
ICML 2024
Online Learning with Set-valued Feedback
COLT 2024
Online Learning with Sublinear Best-Action Queries
NeurIPS 2024
Online Linear Regression in Dynamic Environments via Discounting
ICML 2024
Online Markov Decision Processes Configuration with Continuous Decision Space
AAAI 2024
Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning
ICML 2024
Online multiple testing with e-values
AISTATS 2024
Online non-parametric likelihood-ratio estimation by Pearson-divergence functional minimization
AISTATS 2024
Online Policy Optimization for Robust Markov Decision Process
UAI 2024
Online Posterior Sampling with a Diffusion Prior
NeurIPS 2024