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)
On Shallow Planning Under Partial Observability
AAAI 2025
On Speeding Up Language Model Evaluation
ICLR 2025
On Stochastic Contextual Bandits with Knapsacks in Small Budget Regime
ICLR 2025
On Teacher Hacking in Language Model Distillation
ICML 2025
On Temporal ASP with Eager Unfoldable Operators
IJCAI 2025
On the Ability of Deep Networks to Learn Symmetries from Data: A Neural Kernel Theory
JMLR 2025
On the Adversarial Robustness of Multi-Kernel Clustering
ICML 2025
On the Almost Sure Convergence of the Stochastic Three Points Algorithm
ICLR 2025
On the Approximation of Kernel functions
JMLR 2025
On the Asymptotic Optimality of Confidence Interval Based Algorithms for Fixed Confidence MABs
AAAI 2025
On the Benefits of Active Data Collection in Operator Learning
ICML 2025
On the Clean Generalization and Robust Overfitting in Adversarial Training from Two Theoretical Views: Representation Complexity and Training Dynamics
ICML 2025
On the Completeness of Invariant Geometric Deep Learning Models
ICLR 2025
On The Concurrence of Layer-wise Preconditioning Methods and Provable Feature Learning
ICML 2025
On the Convergence of Continual Federated Learning Using Incrementally Aggregated Gradients
AISTATS 2025
On the Convergence of Continuous Single-timescale Actor-critic
ICML 2025
On the Convergence of Min-Max Langevin Dynamics and Algorithm
COLT 2025
On the Convergence of Projected Policy Gradient for Any Constant Step Sizes
JMLR 2025
On the Crucial Role of Initialization for Matrix Factorization
ICLR 2025
On the Distortion of Committee Election with 1-Euclidean Preferences and Few Distance Queries
AAAI 2025
On the Duality between Gradient Transformations and Adapters
ICML 2025
On the Dynamic Regret of Following the Regularized Leader: Optimism with History Pruning
ICML 2025
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning
COLING 2025
On the Emergence of Position Bias in Transformers
ICML 2025
On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages
AAAI 2025