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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

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52
352
828
3,646
5,854
2000
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Papers (including subtopics)

Multi-Objective Optimization Through Pareto Minimal Correction Subsets IJCAI 2018 Multiphase MCMC Sampling for Parameter Inference in Nonlinear Ordinary Differential Equations AISTATS 2018 Multiple Concurrent Sound Source Tracking Based on Observation-Guided Adaptive Particle Filter Interspeech 2018 Multiple-Step Greedy Policies in Approximate and Online Reinforcement Learning NeurIPS 2018 Multi-Robot Motion Planning with Dynamics Guided by Multi-Agent Search IJCAI 2018 Multi-Task Learning as Multi-Objective Optimization NeurIPS 2018 Multi-Task Learning for Document Ranking and Query Suggestion ICLR 2018 Multi-Task Learning Using Uncertainty to Weigh Losses for Scene Geometry and Semantics CVPR 2018 Multi-value Rule Sets for Interpretable Classification with Feature-Efficient Representations NeurIPS 2018 Multivariate Bayesian Structural Time Series Model JMLR 2018 Multivariate Convolutional Sparse Coding for Electromagnetic Brain Signals NeurIPS 2018 MX-LSTM: Mixing Tracklets and Vislets to Jointly Forecast Trajectories and Head Poses CVPR 2018 N2N learning: Network to Network Compression via Policy Gradient Reinforcement Learning ICLR 2018 Naive Bayesian Classifiers with Extreme Probability Features PGM 2018 Narrative Schema Stability in News Text COLING 2018 N-ary Relation Extraction using Graph-State LSTM EMNLP 2018 Natasha 2: Faster Non-Convex Optimization Than SGD NeurIPS 2018 Natural Gradients in Practice: Non-Conjugate Variational Inference in Gaussian Process Models AISTATS 2018 Navigating with Graph Representations for Fast and Scalable Decoding of Neural Language Models NeurIPS 2018 Nearly second-order optimality of online joint detection and estimation via one-sample update schemes AISTATS 2018 Nearly tight sample complexity bounds for learning mixtures of Gaussians via sample compression schemes NeurIPS 2018 Near-Optimal Budgeted Data Exchange for Distributed Loop Closure Detection RSS 2018 Near Optimal Exploration-Exploitation in Non-Communicating Markov Decision Processes NeurIPS 2018 Near-Optimal Machine Teaching via Explanatory Teaching Sets AISTATS 2018 Near-Optimal Sample Complexity Bounds for Maximum Likelihood Estimation of Multivariate Log-concave Densities COLT 2018