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
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Papers (including subtopics)
AutoBool: Reinforcement-Learned LLM for Effective Automatic Systematic Reviews Boolean Query Generation
EACL 2026
Automatic Translational Correction of Multi-View Coronary Angiography Based on Auto-Annotation Data Generation
AAAI 2026
Autonomous Concept Drift Threshold Determination
AAAI 2026
Autonomous Vehicle Path Planning by Searching with Differentiable Simulation
AAAI 2026
AutoTuneX: Interactive Automated Fine-Tuning for Large Language Models
AAAI 2026
Auxiliary Gene Learning: Spatial Gene Expression Estimation by Auxiliary Gene Selection
AAAI 2026
AVM: Towards Structure-Preserving Neural Response Modeling in the Visual Cortex Across Stimuli and Individuals
AAAI 2026
Avoiding exp($k^*$) Scaling for Thompson Sampling in Combinatorial Semi-Bandits: From Multiple Seeds to a Single Seed
COLT 2026
Aware First, Think Less: Dynamic Boundary Self-Awareness Drives Significant Gains in Reasoning Efficiency in Large Language Models
AAAI 2026
Balanced Accuracy: The Right Metric for Evaluating LLM Judges - Explained through Youden’s J statistic
EACL 2026
Balancing Fluency and Adherence: Hybrid Fallback Term Injection in Low-Resource Terminology Translation
EACL 2026
BAMAS: Structuring Budget-Aware Multi-Agent Systems
AAAI 2026
Bandit Learning in Housing Markets
AAAI 2026
Bandwidth Selection in Kernel Density Estimation for Model Calibration
UAI 2026
Bant: Byzantine Antidote via Trial Function and Trust Scores
AAAI 2026
Barriers to Discrete Reasoning with Transformers: A Survey Across Depth, Exactness, and Bandwidth
EACL 2026
Batch Loss Score for Dynamic Data Pruning
CVPR 2026
BATIS: Bayesian Approaches for Targeted Improvement of Species Distribution Models
AAAI 2026
BayesFlow: A Probability Inference Framework for Meta-Agent Assisted Workflow Generation
EACL 2026
Bayesian Causal Discovery Networks for Linear Mixed Data
CLeaR 2026
Bayesian Inference of Contextual Bandit Policies via Empirical Likelihood
JMLR 2026
Bayesian Meta-Analyses Could Be More: A Case Study in Trial of Labor After a Cesarean-section Outcomes and Complications
AAAI 2026
Bayesian Network Structural Consensus via Greedy Min-Cut Analysis
AAAI 2026
Bayesian Neural Networks for One-to-Many Mapping in Image Enhancement
AAAI 2026
Bayes-Optimal Fair Classification with Multiple Sensitive Features
AAAI 2026