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)

Approximate Global Convergence of Independent Learning in Multi-Agent Systems AISTATS 2025 Approximate information maximization for bandit games AISTATS 2025 Approximate Lifted Model Construction IJCAI 2025 Approximate State Abstraction for Markov Games AAAI 2025 Approximate Thompson Sampling for Learning Linear Quadratic Regulators with O(√T) Regret L4DC 2025 Approximating Full Conformal Prediction for Neural Network Regression with Gauss-Newton Influence ICLR 2025 Approximating Metric Magnitude of Point Sets AAAI 2025 Approximating the Total Variation Distance between Gaussians AISTATS 2025 Approximating the total variation distance between spin systems COLT 2025 A Primal-dual Perspective for Distributed TD-learning IJCAI 2025 A primer on linear classification with missing data AISTATS 2025 A Priori Estimation of the Approximation, Optimization and Generalization Errors of Random Neural Networks for Solving Partial Differential Equations IJCAI 2025 A Proactive Reliability Metric for Detecting Failures in Language Model Training EMNLP 2025 A Probabilistic Inference Scaling Theory for LLM Self-Correction EMNLP 2025 A Probabilistic Measure of Multi-Robot Connectivity and Ergodic Optimal Control RSS 2025 A Probabilistic Perspective on Unlearning and Alignment for Large Language Models ICLR 2025 A Probabilistic Toolkit for Multi-grained Word Segmentation in Chinese COLING 2025 A Proof of The Changepoint Detection Threshold Conjecture in Preferential Attachment Models COLT 2025 APT: Adaptive Personalized Training for Diffusion Models with Limited Data CVPR 2025 AQUAFace: Age-Invariant Quality Adaptive Face Recognition for Unconstrained Selfie vs ID Verification AAAI 2025 ARB-LLM: Alternating Refined Binarizations for Large Language Models ICLR 2025 Architecture-Aware Learning Curve Extrapolation via Graph Ordinary Differential Equation AAAI 2025 Are all models wrong? Fundamental limits in distribution-free empirical model falsification COLT 2025 A Reasoner for Real-World Event Detection: Scaling Reinforcement Learning via Adaptive Perplexity-Aware Sampling Strategy EMNLP 2025 A Reduction Framework for Distributionally Robust Reinforcement Learning under Average Reward ICML 2025