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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)

Combinatorial semi-bandit with known covariance NeurIPS 2016 Combined Optimization and Reinforcement Learning for Manipulation Skills RSS 2016 Combining Adversarial Guarantees and Stochastic Fast Rates in Online Learning NeurIPS 2016 Communication Efficient Distributed Agnostic Boosting AISTATS 2016 Communication-Optimal Distributed Clustering NeurIPS 2016 Comparing Different Methods for Analyzing ERP Signals Interspeech 2016 Completely random measures for modelling block-structured sparse networks NeurIPS 2016 Complexity in Prosody: A Nonlinear Dynamical Systems Approach for Dyadic Conversations; Behavior and Outcomes in Couples Therapy Interspeech 2016 Complexity of Representation and Inference in Compositional Models with Part Sharing JMLR 2016 Complexity Theoretic Limitations on Learning DNF’s COLT 2016 Composite Multiclass Losses JMLR 2016 Compressed Gaussian Process for Manifold Regression JMLR 2016 Compressing Bayes Net CPTs with Persistent Leaky Causes PGM 2016 Compressive Spectral Clustering ICML 2016 Computational and Statistical Tradeoffs in Learning to Rank NeurIPS 2016 Computational Imaging for VLBI Image Reconstruction CVPR 2016 Computationally Efficient Bayesian Learning of Gaussian Process State Space Models AISTATS 2016 Computing and maximizing influence in linear threshold and triggering models NeurIPS 2016 Conditional Dependence via Shannon Capacity: Axioms, Estimators and Applications ICML 2016 Conditional Generative Moment-Matching Networks NeurIPS 2016 Conditional Graphical Lasso for Multi-Label Image Classification CVPR 2016 Conditional Probability Estimation PGM 2016 Conditional Random Fields for the Tunisian Dialect Grapheme-to-Phoneme Conversion Interspeech 2016 Consensus of Non-Rigid Reconstructions CVPR 2016 Conservative Bandits ICML 2016