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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)

Confusion-Based Online Learning and a Passive-Aggressive Scheme NeurIPS 2012 Consistency and Rates for Clustering with DBSCAN AISTATS 2012 Consistency of Nearest Neighbor Classification under Selective Sampling COLT 2012 Consistent Model Selection Criteria on High Dimensions JMLR 2012 Contextual Sequence Prediction with Application to Control Library Optimization RSS 2012 Continuous Relaxations for Discrete Hamiltonian Monte Carlo NeurIPS 2012 Controlled Recognition Bounds for Visual Learning and Exploration NeurIPS 2012 Controlling Selection Bias in Causal Inference AISTATS 2012 Convergence and Energy Landscape for Cheeger Cut Clustering NeurIPS 2012 Convergence Rate Analysis of MAP Coordinate Minimization Algorithms NeurIPS 2012 Convex Multi-view Subspace Learning NeurIPS 2012 Copula Network Classifiers (CNCs) AISTATS 2012 Co-Regularized Hashing for Multimodal Data NeurIPS 2012 CorrLog: Correlated Logistic Models for Joint Prediction of Multiple Labels AISTATS 2012 Cost-Sensitive Exploration in Bayesian Reinforcement Learning NeurIPS 2012 Coupling Nonparametric Mixtures via Latent Dirichlet Processes NeurIPS 2012 CPRL -- An Extension of Compressive Sensing to the Phase Retrieval Problem NeurIPS 2012 Deep Learning Made Easier by Linear Transformations in Perceptrons AISTATS 2012 Delay Compensation with Dynamical Synapses NeurIPS 2012 Density-Difference Estimation NeurIPS 2012 Density Propagation and Improved Bounds on the Partition Function NeurIPS 2012 Deterministic Annealing for Semi-Supervised Structured Output Learning AISTATS 2012 Differentially Private Online Learning COLT 2012 Dimensionality Dependent PAC-Bayes Margin Bound NeurIPS 2012 Distributed Learning, Communication Complexity and Privacy COLT 2012