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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)

PPG Reloaded: An Empirical Study on What Matters in Phasic Policy Gradient ICML 2023 PPR: Physically Plausible Reconstruction from Monocular Videos ICCV 2023 Practical and Asymptotically Exact Conditional Sampling in Diffusion Models NeurIPS 2023 Practical and Matching Gradient Variance Bounds for Black-Box Variational Bayesian Inference ICML 2023 Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions EMNLP 2023 Practical Contextual Bandits with Feedback Graphs NeurIPS 2023 Practical Differentially Private Hyperparameter Tuning with Subsampling NeurIPS 2023 Practical Markov Boundary Learning without Strong Assumptions AAAI 2023 Practical Network Acceleration With Tiny Sets CVPR 2023 Practical Sharpness-Aware Minimization Cannot Converge All the Way to Optima NeurIPS 2023 Precise Asymptotic Analysis of Deep Random Feature Models COLT 2023 Precise asymptotic generalization for multiclass classification with overparameterized linear models NeurIPS 2023 Precision Recall Cover: A Method For Assessing Generative Models AISTATS 2023 Precision-Recall Divergence Optimization for Generative Modeling with GANs and Normalizing Flows NeurIPS 2023 Precision/Recall on Imbalanced Test Data AISTATS 2023 Preconditioned Gradient Descent for Overparameterized Nonconvex Burer--Monteiro Factorization with Global Optimality Certification JMLR 2023 Preconditioning Matters: Fast Global Convergence of Non-convex Matrix Factorization via Scaled Gradient Descent NeurIPS 2023 Predefined-Time Convergent Motion Control for Heterogeneous Continuum Robots RSS 2023 Predicting Rare Events by Shrinking Towards Proportional Odds ICML 2023 Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network ACL 2023 Prediction-Oriented Bayesian Active Learning AISTATS 2023 Prediction with Incomplete Data under Agnostic Mask Distribution Shift IJCAI 2023 Predictive Flows for Faster Ford-Fulkerson ICML 2023 Predictive Inference with Feature Conformal Prediction ICLR 2023 Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints AAAI 2023