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)
EvoChart: A Benchmark and a Self-Training Approach Towards Real-World Chart Understanding
AAAI 2025
EvolKV: Evolutionary KV Cache Compression for LLM Inference
EMNLP 2025
Evolutionary Algorithms Are Significantly More Robust to Noise When They Ignore It
IJCAI 2025
Evolutionary Classifier Chain for Multi-Dimensional Classification
AAAI 2025
EvolveBench: A Comprehensive Benchmark for Assessing Temporal Awareness in LLMs on Evolving Knowledge
ACL 2025
EVOLvE: Evaluating and Optimizing LLMs For In-Context Exploration
ICML 2025
Evolving Chinese Spelling Correction with Corrector-Verifier Collaboration
EMNLP 2025
Evolving Prompts In-Context: An Open-ended, Self-replicating Perspective
ICML 2025
EvoPress: Accurate Dynamic Model Compression via Evolutionary Search
ICML 2025
EVOS: Efficient Implicit Neural Training via EVOlutionary Selector
CVPR 2025
Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size
AAAI 2025
Exact Certification of (Graph) Neural Networks Against Label Poisoning
ICLR 2025
Exact Community Recovery under Side Information: Optimality of Spectral Algorithms
ICLR 2025
Exactly Tight Information-theoretic Generalization Bounds via Binary Jensen-Shannon Divergence
ICML 2025
Exact Recovery of Sparse Binary Vectors from Generalized Linear Measurements
ICML 2025
Exact risk curves of signSGD in High-Dimensions: quantifying preconditioning and noise-compression effects
ICML 2025
Examining False Positives under Inference Scaling for Mathematical Reasoning
EMNLP 2025
EXECUTE: A Multilingual Benchmark for LLM Token Understanding
ACL 2025
Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on SO(d)
COLT 2025
Expectation Preference Optimization: Reliable Preference Estimation for Improving the Reasoning Capability of Large Language Models
EMNLP 2025
Expected Hypervolume Improvement Is a Particular Hypervolume Improvement
AAAI 2025
Expected Sliced Transport Plans
ICLR 2025
Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models
AAAI 2025
Experimental Design for Semiparametric Bandits
COLT 2025
Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning Dynamics
EMNLP 2025