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)
ReAttn: Improving Attention-based Re-ranking via Attention Re-weighting
EACL 2026
ReBPE: Iteratively Improving the Internal Structure of a Structured Tokeniser by Mining its Internal Structure
EACL 2026
ReCast: Reliability-aware Codebook-assisted Lightweight Time Series Forecasting
AAAI 2026
ReCode: Updating Code API Knowledge with Reinforcement Learning
AAAI 2026
Reconcile Gradient Modulation for Harmony Multimodal Learning
AAAI 2026
Recovery thresholds for hidden weighted sparse graphs (extended abstract)
COLT 2026
Rectify Evaluation Preference: Improving LLMs’ Critique on Math Reasoning via Perplexity-aware Reinforcement Learning
AAAI 2026
Recursive Causal Discovery (Abstract Reprint)
AAAI 2026
Recursive Fréchet Mean Estimation
UAI 2026
Recursively Enumerably Representable Classes and Computable Versions of the Fundamental Theorem of Statistical Learning
COLT 2026
Reducing Alert Fatigue Through AI Ranking: A Deployed Public Health Data Monitoring System
AAAI 2026
Refine and Align: Confidence Calibration Through Multi-Agent Interaction in VQA
AAAI 2026
ReFINE: A Reward-Based Framework for Interpretable and Nuanced Evaluation of Radiology Report Generation
AAAI 2026
Refined Risk Bounds for Unbounded Losses via Transductive Priors
JMLR 2026
Refine-IQA: Multi-Stage Reinforcement Finetuning for Perceptual Image Quality Assessment
AAAI 2026
Regressor-guided Diffusion Model for De Novo Peptide Sequencing with Explicit Mass Control
AAAI 2026
Regret Minimization with Adaptive Opponents in Repeated Games
COLT 2026
Regularized Robustly Reliable Learners
ALT 2026
REINA: Regularized Entropy Information-Based Loss for Efficient Simultaneous Speech Translation
AAAI 2026
Reinforced Rate Control for Neural Video Compression via Inter-Frame Rate–Distortion Awareness
AAAI 2026
Relational Verification for Cost-Aware Quantum Program Optimization
AAAI 2026
Relation-R1: Progressively Cognitive Chain-of-Thought Guided Reinforcement Learning for Unified Relation Comprehension
AAAI 2026
Relative Advantage Debiasing for Watch-Time Prediction in Short-Video Recommendation
AAAI 2026
Relative Information Gain and Gaussian Process Regression
ALT 2026
Relatively Smart: A New Approach for Instance-Optimal Learning
COLT 2026