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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)

BACKSHIFT: Learning causal cyclic graphs from unknown shift interventions NeurIPS 2015 Bad Universal Priors and Notions of Optimality COLT 2015 Bandit Convex Optimization: \sqrtT Regret in One Dimension COLT 2015 Bandit Smooth Convex Optimization: Improving the Bias-Variance Tradeoff NeurIPS 2015 Bandits with Unobserved Confounders: A Causal Approach NeurIPS 2015 Barrier Frank-Wolfe for Marginal Inference NeurIPS 2015 Basis refinement strategies for linear value function approximation in MDPs NeurIPS 2015 Batched Bandit Problems COLT 2015 Batch Learning from Logged Bandit Feedback through Counterfactual Risk Minimization JMLR 2015 Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift ICML 2015 Bayesian Active Model Selection with an Application to Automated Audiometry NeurIPS 2015 Bayesian Adaptive Matrix Factorization With Automatic Model Selection CVPR 2015 Bayesian dark knowledge NeurIPS 2015 Bayesian Inference for Neighborhood Filters With Application in Denoising CVPR 2015 Bayesian Model Adaptation for Crowd Counts ICCV 2015 Bayesian Multiple Target Localization ICML 2015 Bayesian Nonparametric Covariance Regression JMLR 2015 Bayesian Nonparametric Crowdsourcing JMLR 2015 Bayesian Optimization with Exponential Convergence NeurIPS 2015 Bayesian Sparse Representation for Hyperspectral Image Super Resolution CVPR 2015 b-bit Marginal Regression NeurIPS 2015 Beyond Convexity: Stochastic Quasi-Convex Optimization NeurIPS 2015 Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs ICCV 2015 Beyond Hartigan Consistency: Merge Distortion Metric for Hierarchical Clustering COLT 2015 Beyond Sub-Gaussian Measurements: High-Dimensional Structured Estimation with Sub-Exponential Designs NeurIPS 2015