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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)

Expectation Propagation with Stochastic Kinetic Model in Complex Interaction Systems NeurIPS 2017 Experience-driven Predictive Control with Robust Constraint Satisfaction under Time-Varying State Uncertainty RSS 2017 Explaining the Success of AdaBoost and Random Forests as Interpolating Classifiers JMLR 2017 Exploiting 2D Floorplan for Building-Scale Panorama RGBD Alignment CVPR 2017 Exploiting Causality for Selective Belief Filtering in Dynamic Bayesian Networks (Extended Abstract) IJCAI 2017 Exploiting Intra-Annotator Rating Consistency Through Copeland’s Method for Estimation of Ground Truth Labels in Couples’ Therapy Interspeech 2017 Exploiting Strong Convexity from Data with Primal-Dual First-Order Algorithms ICML 2017 Exploration of Tree-based Hierarchical Softmax for Recurrent Language Models IJCAI 2017 Exploring Generalization in Deep Learning NeurIPS 2017 Extending Model-based Policy Gradients for Robots in Heteroscedastic Environments CoRL 2017 Factorized Asymptotic Bayesian Policy Search for POMDPs IJCAI 2017 Failures of Gradient-Based Deep Learning ICML 2017 Fairness in Reinforcement Learning ICML 2017 FALKON: An Optimal Large Scale Kernel Method NeurIPS 2017 Fast Bayesian Intensity Estimation for the Permanental Process ICML 2017 Fast Bayesian Optimization of Machine Learning Hyperparameters on Large Datasets AISTATS 2017 Fast Black-box Variational Inference through Stochastic Trust-Region Optimization NeurIPS 2017 Fast Change Point Detection on Dynamic Social Networks IJCAI 2017 Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers NeurIPS 2017 Faster Coordinate Descent via Adaptive Importance Sampling AISTATS 2017 Faster Principal Component Regression and Stable Matrix Chebyshev Approximation ICML 2017 Fast Fourier Color Constancy CVPR 2017 Fast Parallel Training of Neural Language Models IJCAI 2017 Fast Rates for Empirical Risk Minimization of Strict Saddle Problems COLT 2017 Fast rates for online learning in Linearly Solvable Markov Decision Processes COLT 2017