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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)

A Sliced Wasserstein Loss for Neural Texture Synthesis CVPR 2021 ASR Posterior-Based Loss for Multi-Task End-to-End Speech Translation Interspeech 2021 Assessing Image and Text Generation With Topological Analysis and Fuzzy Logic WACV 2021 A Statistical Extension of Byte-Pair Encoding ACL 2021 A Statistical Perspective on Coreset Density Estimation AISTATS 2021 A statistical perspective on distillation ICML 2021 A statistical theory of cold posteriors in deep neural networks ICLR 2021 A Stochastic Newton Algorithm for Distributed Convex Optimization NeurIPS 2021 A Strong Baseline for Query Efficient Attacks in a Black Box Setting EMNLP 2021 A Study of Condition Numbers for First-Order Optimization AISTATS 2021 A Surprisingly Effective Perimeter-based Loss for Medical Image Segmentation MIDL 2021 A Surrogate Objective Framework for Prediction+Programming with Soft Constraints NeurIPS 2021 A Survey on Goal Recognition as Planning IJCAI 2021 Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation CVPR 2021 Asymmetric Heavy Tails and Implicit Bias in Gaussian Noise Injections ICML 2021 Asymmetric Loss for Multi-Label Classification ICCV 2021 Asymmetric Loss Functions for Learning with Noisy Labels ICML 2021 Asymptotically Best Causal Effect Identification with Multi-Armed Bandits NeurIPS 2021 Asymptotically Exact and Fast Gaussian Copula Models for Imputation of Mixed Data Types ACML 2021 Asymptotically Exact Error Characterization of Offline Policy Evaluation with Misspecified Linear Models NeurIPS 2021 Asymptotically Optimal Information-Directed Sampling COLT 2021 Asymptotically Optimal Strategies For Combinatorial Semi-Bandits in Polynomial Time ALT 2021 Asymptotic Normality and Confidence Intervals for Prediction Risk of the Min-Norm Least Squares Estimator ICML 2021 Asymptotic Normality, Concentration, and Coverage of Generalized Posteriors JMLR 2021 Asymptotics of representation learning in finite Bayesian neural networks NeurIPS 2021