Skip to content
conftrace_

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
52
352
828
3,646
5,854
2000
'5
'10
'15
'20
'25

Papers (including subtopics)

Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms AAAI 2026 Priority-Based Graph-Enhanced Reinforcement Learning for Robust Analog Circuit Optimization AAAI 2026 Privately Estimating Black-Box Statistics COLT 2026 PrivSynth: Alternating and Control-Based Optimization for Privacy and Utility in Synthetic Data CVPR 2026 ProAR: Probabilistic Autoregressive Modeling for Molecular Dynamics AAAI 2026 Probabilistic Bilingual Subword Segmentation with Latent Subword Alignment EACL 2026 Probabilistic Deformation Consistency for Unsupervised Shape Matching AAAI 2026 Probabilistic Hash Embeddings for Online Learning of Categorical Features AAAI 2026 Probabilistic Hierarchical Goal Network Planning with UCT AAAI 2026 Probabilistic Safety Verification of Neural Policies via Predicate Abstraction AAAI 2026 Probabilistic Verification of Neural Networks via Efficient Probabilistic Hull Generation UAI 2026 Probabilities Are All You Need: A Probability-Only Approach to Uncertainty Estimation in Large Language Models AAAI 2026 Probability Distribution Alignment and Low-Rank Weight Decomposition for Source-Free Domain Adaptive Brain Decoding AAAI 2026 Probably Correct Optimal Stable Matching under Two-Sided Uncertainty UAI 2026 ProCAST: A Projection Framework for Coupled Aggregation Constrained Multivariate Time Series Forecasting AAAI 2026 ProFuser: Progressive Fusion of Large Language Models AAAI 2026 Progressive Guessing to Fixed Point: Rethinking Human Motion Prediction with Deep Equilibrium Models CVPR 2026 Promises Made, Promises Kept: Safe Pareto Improvements via Ex Post Verifiable Commitments AAAI 2026 Promoting Efficient Reasoning with Verifiable Stepwise Reward AAAI 2026 PromptFE: Automated Feature Engineering by Prompting EACL 2026 Prompting Adversarial Transferability via Path Flatness Attack AAAI 2026 promptolution: A Unified, Modular Framework for Prompt Optimization EACL 2026 Prompt-OT: An Optimal Transport Regularization Paradigm for Knowledge Preservation in Vision-Language Model Adaptation WACV 2026 Proof Systems for Tensor-based Model Counting AAAI 2026 Proof Systems That Tightly Characterise Model Counting Algorithms AAAI 2026