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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

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2000
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Papers (including subtopics)

Semi-parametric Learning of Structured Temporal Point Processes JMLR 2020 Semismooth Newton Algorithm for Efficient Projections onto ℓ_1, ∞-norm Ball ICML 2020 Semi-Supervised Bilingual Lexicon Induction with Two-way Interaction EMNLP 2020 Semi-Supervised Learning for Maximizing the Partial AUC AAAI 2020 Semi-Supervised Learning: the Case When Unlabeled Data is Equally Useful UAI 2020 Semi-Supervised Self-Produced Speech Enhancement and Suppression Based on Joint Source Modeling of Air- and Body-Conducted Signals Using Variational Autoencoder Interspeech 2020 Sentence Transformers and Bayesian Optimization for Adverse Drug Effect Detection from Twitter COLING 2020 Separating Particulate Matter From a Single Microscopic Image CVPR 2020 Sequential Bayesian Experimental Design with Variable Cost Structure NeurIPS 2020 Sequential change-point detection in high-dimensional Gaussian graphical models JMLR 2020 Sequential Cooperative Bayesian Inference ICML 2020 Sequential Mode Estimation with Oracle Queries AAAI 2020 Sequential no-Substitution k-Median-Clustering AISTATS 2020 Sequential Transfer in Reinforcement Learning with a Generative Model ICML 2020 Seq-U-Net: A One-Dimensional Causal U-Net for Efficient Sequence Modelling IJCAI 2020 SetRank: A Setwise Bayesian Approach for Collaborative Ranking from Implicit Feedback AAAI 2020 Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training CVPR 2020 SEVIR : A Storm Event Imagery Dataset for Deep Learning Applications in Radar and Satellite Meteorology NeurIPS 2020 SGD Learns One-Layer Networks in WGANs ICML 2020 SGD with shuffling: optimal rates without component convexity and large epoch requirements NeurIPS 2020 Shallow-to-Deep Training for Neural Machine Translation EMNLP 2020 Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models AISTATS 2020 Sharp Asymptotics and Optimal Performance for Inference in Binary Models AISTATS 2020 Sharpened Generalization Bounds based on Conditional Mutual Information and an Application to Noisy, Iterative Algorithms NeurIPS 2020 Sharper Bounds for Uniformly Stable Algorithms COLT 2020