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 Learning in Risk Sensitive constrained MDP
ICML 2025
Online Learning in the Random-Order Model
ICML 2025
Online Learning of Coalition Structures by Selfish Agents
AAAI 2025
Online Learning of Quantum States with Logarithmic Loss via VB-FTRL
ALT 2025
Online Learning with Stochastically Partitioning Experts
UAI 2025
Online Learning with Unknown Constraints
ICML 2025
Online Linear Classification with Massart Noise
ICML 2025
Online MDP with Prototypes Information: A Robust Adaptive Approach
AAAI 2025
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
AAAI 2025
Online Planning in MDPs with Stochastic Durative Actions
IJCAI 2025
Online Prompt Selection for Program Synthesis
AAAI 2025
Online Quantile Regression
JMLR 2025
Online Reward-Weighted Fine-Tuning of Flow Matching with Wasserstein Regularization
ICLR 2025
Online-to-PAC generalization bounds under graph-mixing dependencies
AISTATS 2025
On Local Overfitting and Forgetting in Deep Neural Networks
AAAI 2025
On Local Posterior Structure in Deep Ensembles
AISTATS 2025
On Measuring Inconsistency in Graph Databases with Regular Path Constraints (Abstract Reprint)
IJCAI 2025
On Memorization of Large Language Models in Logical Reasoning
IJCNLP 2025
On Mitigating Affinity Bias through Bandits with Evolving Biased Feedback
ICML 2025
On Model Identification and Out-of-Sample Prediction of PCR with Applications to Synthetic Controls
JMLR 2025
On Non-asymptotic Theory of Recurrent Neural Networks in Temporal Point Processes
JMLR 2025
On Oversquashing in Graph Neural Networks Through the Lens of Dynamical Systems
AAAI 2025
On Probabilistic Embeddings in Optimal Dimension Reduction
JMLR 2025
On Quantizing Neural Representation for Variable-Rate Video Coding
ICLR 2025
On Scaling Up 3D Gaussian Splatting Training
ICLR 2025