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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)

Approximately Optimal Core Shapes for Tensor Decompositions ICML 2023 Approximately Stationary Bandits with Knapsacks COLT 2023 Approximate Nearest Neighbor Search through Modern Error-Correcting Codes ICLR 2023 Approximate Post-Selective Inference for Regression with the Group LASSO JMLR 2023 Approximate Regions of Attraction in Learning with Decision-Dependent Distributions AISTATS 2023 Approximate Stein Classes for Truncated Density Estimation ICML 2023 Approximate Thompson Sampling via Epistemic Neural Networks UAI 2023 Approximating Full Conformal Prediction at Scale via Influence Functions AAAI 2023 Approximating probabilistic explanations via supermodular minimization UAI 2023 Approximating Two-Layer Feedforward Networks for Efficient Transformers EMNLP 2023 Approximation and Estimation Ability of Transformers for Sequence-to-Sequence Functions with Infinite Dimensional Input ICML 2023 Approximation and non-parametric estimation of functions over high-dimensional spheres via deep ReLU networks ICLR 2023 Approximation Bounds for Hierarchical Clustering: Average Linkage, Bisecting K-means, and Local Search JMLR 2023 Approximation-Generalization Trade-offs under (Approximate) Group Equivariance NeurIPS 2023 A Practical Upper Bound for the Worst-Case Attribution Deviations CVPR 2023 A Prediction-and-Scheduling Framework for Efficient Order Transfer in Logistics IJCAI 2023 A Pretty Fast Algorithm for Adaptive Private Mean Estimation COLT 2023 A Primal-Dual Framework for Transformers and Neural Networks ICLR 2023 A principled framework for the design and analysis of token algorithms AISTATS 2023 A Probabilistic Framework for Discovering New Intents ACL 2023 A Probabilistic Framework for Lifelong Test-Time Adaptation CVPR 2023 A Proof That Using Crossover Can Guarantee Exponential Speed-Ups in Evolutionary Multi-Objective Optimisation AAAI 2023 A Provable Framework of Learning Graph Embeddings via Summarization AAAI 2023 AQuA: A Benchmarking Tool for Label Quality Assessment NeurIPS 2023 A Quantitative Game-theoretical Study on Externalities of Long-lasting Humanitarian Relief Operations in Conflict Areas IJCAI 2023