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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
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'25

Papers (including subtopics)

A Novel Characterization of the Population Area Under the Risk Coverage Curve (AURC) and Rates of Finite Sample Estimators ICML 2025 A Novel Computational Modeling Foundation for Automatic Coherence Assessment NAACL 2025 A Novel Convex Gaussian Min Max Theorem for Repeated Features AISTATS 2025 Answer Convergence as a Signal for Early Stopping in Reasoning EMNLP 2025 An uncertainty principle for Linear Recurrent Neural Networks COLT 2025 Any-SSR: How Recursive Least Squares Works in Continual Learning of Large Language Model ICCV 2025 Anytime Acceleration of Gradient Descent COLT 2025 Anytime-Valid A/B Testing of Counting Processes AISTATS 2025 A PAC-Bayesian Link Between Generalisation and Flat Minima ALT 2025 APB: Accelerating Distributed Long-Context Inference by Passing Compressed Context Blocks across GPUs ACL 2025 A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language ICLR 2025 APHQ-ViT: Post-Training Quantization with Average Perturbation Hessian Based Reconstruction for Vision Transformers CVPR 2025 A Physics-Informed Blur Learning Framework for Imaging Systems CVPR 2025 A Physics-Informed Machine Learning Framework for Safe and Optimal Control of Autonomous Systems ICML 2025 APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025 A Plug-and-Play Bregman ADMM Module for Inferring Event Branches in Temporal Point Processes AAAI 2025 A Policy-Gradient Approach to Solving Imperfect-Information Games with Best-Iterate Convergence ICLR 2025 A Polynomial-time Algorithm for Online Sparse Linear Regression with Improved Regret Bound under Weaker Conditions COLT 2025 Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation CVPR 2025 Approaching Rate-Distortion Limits in Neural Compression with Lattice Transform Coding ICLR 2025 Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes AAAI 2025 Approximate Differential Privacy of the ℓ_2 Mechanism ICML 2025 Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment AAAI 2025 Approximate Equivariance in Reinforcement Learning AISTATS 2025 Approximate Forest Completion and Learning-Augmented Algorithms for Metric Minimum Spanning Trees ICML 2025