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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)

PAC Lower Bounds and Efficient Algorithms for The Max K-Armed Bandit Problem ICML 2016 PAC Reinforcement Learning with Rich Observations NeurIPS 2016 Parallel and Distributed Block-Coordinate Frank-Wolfe Algorithms ICML 2016 Parallel Markov Chain Monte Carlo via Spectral Clustering AISTATS 2016 Parameter Estimation for Generalized Thurstone Choice Models ICML 2016 Parameter-Free Convex Learning through Coin Betting AutoML 2016 Parameter Learning for Log-supermodular Distributions NeurIPS 2016 Pareto Front Identification from Stochastic Bandit Feedback AISTATS 2016 Pareto Frontier Learning with Expensive Correlated Objectives ICML 2016 Partition Functions from Rao-Blackwellized Tempered Sampling ICML 2016 Patches, Planes and Probabilities: A Non-Local Prior for Volumetric 3D Reconstruction CVPR 2016 Path-Normalized Optimization of Recurrent Neural Networks with ReLU Activations NeurIPS 2016 PD-Sparse : A Primal and Dual Sparse Approach to Extreme Multiclass and Multilabel Classification ICML 2016 Persistent RNNs: Stashing Recurrent Weights On-Chip ICML 2016 Phased LSTM: Accelerating Recurrent Network Training for Long or Event-based Sequences NeurIPS 2016 Piecewise-Planar 3D Approximation From Wide-Baseline Stereo CVPR 2016 Planar Time Optimal Paths for Non-Symmetric Vehicles in Constant Flows RSS 2016 POD: Discovering Primary Objects in Videos Based on Evolutionary Refinement of Object Recurrence, Background, and Primary Object Models CVPR 2016 Poisson-Gamma dynamical systems NeurIPS 2016 Policy Error Bounds for Model-Based Reinforcement Learning with Factored Linear Models COLT 2016 Polynomial Networks and Factorization Machines: New Insights and Efficient Training Algorithms ICML 2016 Power of Ordered Hypothesis Testing ICML 2016 Predicting Binaural Speech Intelligibility from Signals Estimated by a Blind Source Separation Algorithm Interspeech 2016 Predicting Disease Progression with a Model for Multivariate Longitudinal Clinical Data MLHC 2016 Predictive Entropy Search for Multi-objective Bayesian Optimization ICML 2016