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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)

Copula-like Variational Inference NeurIPS 2019 Copula Multi-label Learning NeurIPS 2019 Coresets for Archetypal Analysis NeurIPS 2019 Coreset Stochastic Variance-Reduced Gradient with Application to Optimal Margin Distribution Machine AAAI 2019 Correcting the bias in least squares regression with volume-rescaled sampling AISTATS 2019 Correcting Whitespace Errors in Digitized Historical Texts NAACL 2019 Correlated bandits or: How to minimize mean-squared error online ICML 2019 Correlated Uncertainty for Learning Dense Correspondences from Noisy Labels NeurIPS 2019 Correlating Neural and Symbolic Representations of Language ACL 2019 Correlating Preferences and Attributes: Nearly Single-Crossing Profiles IJCAI 2019 Correlation Priors for Reinforcement Learning NeurIPS 2019 Correspondence Analysis Using Neural Networks AISTATS 2019 Cost-Sensitive Learning to Rank AAAI 2019 Cost-sensitive Regularization for Label Confusion-aware Event Detection ACL 2019 Countdown Regression: Sharp and Calibrated Survival Predictions UAI 2019 Counter-example Guided Learning of Bounds on Environment Behavior CoRL 2019 Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses EMNLP 2019 Counting Complexity for Reasoning in Abstract Argumentation AAAI 2019 Counting the Optimal Solutions in Graphical Models NeurIPS 2019 Covariate-Powered Empirical Bayes Estimation NeurIPS 2019 Coverage Centrality Maximization in Undirected Networks AAAI 2019 Crafting Efficient Neural Graph of Large Entropy IJCAI 2019 Crawling the Community Structure of Multiplex Networks AAAI 2019 Credit Assignment Techniques in Stochastic Computation Graphs AISTATS 2019 Critical Learning Periods in Deep Networks ICLR 2019