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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)

A Simple and Practical Algorithm for Differentially Private Data Release NeurIPS 2012 A Simple Geometric Interpretation of SVM using Stochastic Adversaries AISTATS 2012 A Spectral Algorithm for Latent Dirichlet Allocation NeurIPS 2012 Assessing Blinding in Clinical Trials NeurIPS 2012 A Stick-Breaking Likelihood for Categorical Data Analysis with Latent Gaussian Models AISTATS 2012 A Stochastic Bandit Algorithm for Scratch Games ACML 2012 A Stochastic Gradient Method with an Exponential Convergence _Rate for Finite Training Sets NeurIPS 2012 A Topic Modeling Toolbox Using Belief Propagation JMLR 2012 Attribute-Efficient Learning andWeight-Degree Tradeoffs for Polynomial Threshold Functions COLT 2012 Augment-and-Conquer Negative Binomial Processes NeurIPS 2012 A Unified View of Performance Metrics: Translating Threshold Choice into Expected Classification Loss JMLR 2012 A Unifying Perspective of Parametric Policy Search Methods for Markov Decision Processes NeurIPS 2012 Autonomous Exploration For Navigating In MDPs COLT 2012 Bandit Algorithms boost Brain Computer Interfaces for motor-task selection of a brain-controlled button NeurIPS 2012 Bandit Theory meets Compressed Sensing for high dimensional Stochastic Linear Bandit AISTATS 2012 Bayesian active learning with localized priors for fast receptive field characterization NeurIPS 2012 Bayesian Classifier Combination AISTATS 2012 Bayesian Comparison of Machine Learning Algorithms on Single and Multiple Datasets AISTATS 2012 Bayesian estimation of discrete entropy with mixtures of stick-breaking priors NeurIPS 2012 Bayesian Group Factor Analysis AISTATS 2012 Bayesian Inference for Change Points in Dynamical Systems with Reusable States - a Chinese Restaurant Process Approach AISTATS 2012 Bayesian Mixed-Effects Inference on Classification Performance in Hierarchical Data Sets JMLR 2012 Bayesian models for Large-scale Hierarchical Classification NeurIPS 2012 Bayesian Nonparametric Modeling of Suicide Attempts NeurIPS 2012 Bayesian nonparametric models for ranked data NeurIPS 2012