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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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Papers (including subtopics)

Anonymous Bandits for Multi-User Systems NeurIPS 2022 An Optimal Algorithm for Strongly Convex Minimization under Affine Constraints AISTATS 2022 An Optimization-centric View on Bayes' Rule: Reviewing and Generalizing Variational Inference JMLR 2022 A norm optimisation approach to SDGs: tackling poverty by acting on discrimination IJCAI 2022 A Novel Graph Aggregation Method Based on Feature Distribution Around Each Ego-node for Heterophily ACML 2022 Anticorrelated Noise Injection for Improved Generalization ICML 2022 An Unconstrained Layer-Peeled Perspective on Neural Collapse ICLR 2022 ANVITA-African: A Multilingual Neural Machine Translation System for African Languages EMNLP 2022 Anytime Guarantees under Heavy-Tailed Data AAAI 2022 Anytime Learning of Sum-Product and Sum-Product-Max Networks PGM 2022 A PAC-Bayesian Generalization Bound for Equivariant Networks NeurIPS 2022 A Perturbation-Based Kernel Approximation Framework JMLR 2022 Approaching Quartic Convergence Rates for Quasi-Stochastic Approximation with Application to Gradient-Free Optimization NeurIPS 2022 ApproxIFER: A Model-Agnostic Approach to Resilient and Robust Prediction Serving Systems AAAI 2022 Approximate Bayesian Computation via Classification JMLR 2022 Approximate Bayesian Computation with Domain Expert in the Loop ICML 2022 Approximate Cluster Recovery from Noisy Labels COLT 2022 Approximate Frank-Wolfe Algorithms over Graph-structured Support Sets ICML 2022 Approximate Function Evaluation via Multi-Armed Bandits AISTATS 2022 Approximate Inference for Stochastic Planning in Factored Spaces PGM 2022 Approximately Equivariant Networks for Imperfectly Symmetric Dynamics ICML 2022 Approximate Neural Architecture Search via Operation Distribution Learning WACV 2022 Approximate Secular Equations for the Cubic Regularization Subproblem NeurIPS 2022 Approximate Top-m Arm Identification with Heterogeneous Reward Variances AISTATS 2022 Approximate Value Equivalence NeurIPS 2022