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)
Provably Efficient Algorithm for Best Scoring Rule Identification in Online Principal-Agent Information Acquisition
ICML 2025
Provably Efficient Exploration in Inverse Constrained Reinforcement Learning
ICML 2025
Provably Efficient RL for Linear MDPs under Instantaneous Safety Constraints in Non-Convex Feature Spaces
ICML 2025
Provably Improving Generalization of Few-shot models with Synthetic Data
ICML 2025
Provably Near-Optimal Federated Ensemble Distillation with Negligible Overhead
ICML 2025
Provably Reliable Conformal Prediction Sets in the Presence of Data Poisoning
ICLR 2025
Proving Olympiad Inequalities by Synergizing LLMs and Symbolic Reasoning
ICLR 2025
ProxAnn: Use-Oriented Evaluations of Topic Models and Document Clustering
ACL 2025
Proximal Algorithm Unrolling: Flexible and Efficient Reconstruction Networks for Single-Pixel Imaging
CVPR 2025
Proximal Mapping Loss: Understanding Loss Functions in Crowd Counting & Localization
ICLR 2025
PruneCD: Contrasting Pruned Self Model to Improve Decoding Factuality
EMNLP 2025
Prune ’n Predict: Optimizing LLM Decision-making with Conformal Prediction
ICML 2025
Pruning Large Language Models with Semi-Structural Adaptive Sparse Training
AAAI 2025
PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration
AAAI 2025
PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective Optimization
AAAI 2025
P-SPIKESSM: HARNESSING PROBABILISTIC SPIKING STATE SPACE MODELS FOR LONG-RANGE DEPENDENCY TASKS
ICLR 2025
PTQ1.61: Push the Real Limit of Extremely Low-Bit Post-Training Quantization Methods for Large Language Models
ACL 2025
PTQ4VM: Post-Training Quantization for Visual Mamba
WACV 2025
Pure Exploration with Feedback Graphs
AISTATS 2025
Pursuing Better Decision Boundaries for Long-Tailed Object Detection via Category Information Amount
ICLR 2025
Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter
AAAI 2025
Puzzle: Distillation-Based NAS for Inference-Optimized LLMs
ICML 2025
PVMamba: Parallelizing Vision Mamba via Dynamic State Aggregation
ICCV 2025
Pyramidal Flow Matching for Efficient Video Generative Modeling
ICLR 2025
Pyrrha: Congestion-Root-Based Flow Control to Eliminate Head-of-Line Blocking in Datacenter
NSDI 2025