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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)

Computing Valid P-Values for Image Segmentation by Selective Inference CVPR 2020 Concentration bounds for CVaR estimation: The cases of light-tailed and heavy-tailed distributions ICML 2020 Concentration of Distortion: The Value of Extra Voters in Randomized Social Choice IJCAI 2020 Conditional Linear Regression AISTATS 2020 Conditioning and Processing: Techniques to Improve Information-Theoretic Generalization Bounds NeurIPS 2020 Conference on Learning Theory 2020: Preface COLT 2020 Confidence-Aware Learning for Deep Neural Networks ICML 2020 Confidence Measure for Speech-to-Concept End-to-End Spoken Language Understanding Interspeech 2020 Confidence sequences for sampling without replacement NeurIPS 2020 Conformal Symplectic and Relativistic Optimization NeurIPS 2020 Confounding-Robust Policy Evaluation in Infinite-Horizon Reinforcement Learning NeurIPS 2020 Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices NeurIPS 2020 Conic Optimization for Quadratic Regression Under Sparse Noise JMLR 2020 Conjugate Gradients for Kernel Machines JMLR 2020 Connecting Spectral Clustering to Maximum Margins and Level Sets JMLR 2020 Conquering the CNN Over-Parameterization Dilemma: A Volterra Filtering Approach for Action Recognition AAAI 2020 ConQUR: Mitigating Delusional Bias in Deep Q-Learning ICML 2020 CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus CVPR 2020 Consistency of a Recurrent Language Model With Respect to Incomplete Decoding EMNLP 2020 Consistency of Semi-Supervised Learning Algorithms on Graphs: Probit and One-Hot Methods JMLR 2020 Consistent Estimation of Identifiable Nonparametric Mixture Models from Grouped Observations NeurIPS 2020 Consistent Estimators for Learning to Defer to an Expert ICML 2020 Consistent MetaReg: Alleviating Intra-task Discrepancy for Better Meta-knowledge IJCAI 2020 Consistent Plug-in Classifiers for Complex Objectives and Constraints NeurIPS 2020 Consistent recovery threshold of hidden nearest neighbor graphs COLT 2020