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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)

Multiple-Weight Recurrent Neural Networks IJCAI 2017 Multiplicative Normalizing Flows for Variational Bayesian Neural Networks ICML 2017 Multiplicative Weights Update with Constant Step-Size in Congestion Games: Convergence, Limit Cycles and Chaos NeurIPS 2017 Multi-Positive and Unlabeled Learning IJCAI 2017 Multiresolution Kernel Approximation for Gaussian Process Regression NeurIPS 2017 Multiscale Quantization for Fast Similarity Search NeurIPS 2017 Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces NeurIPS 2017 Multi-Task Learning for Contextual Bandits NeurIPS 2017 Multi-View Decision Processes: The Helper-AI Problem NeurIPS 2017 Multi-view Matrix Factorization for Linear Dynamical System Estimation NeurIPS 2017 Multi-way Interacting Regression via Factorization Machines NeurIPS 2017 Natasha: Faster Non-Convex Stochastic Optimization via Strongly Non-Convex Parameter ICML 2017 Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions NeurIPS 2017 Near-linear time approximation algorithms for optimal transport via Sinkhorn iteration NeurIPS 2017 Nearly optimal classification for semimetrics JMLR 2017 Nearly Optimal Sampling Algorithms for Combinatorial Pure Exploration COLT 2017 Nearly-tight VC-dimension bounds for piecewise linear neural networks COLT 2017 Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem NeurIPS 2017 Near-optimal Bayesian Active Learning with Correlated and Noisy Tests AISTATS 2017 Near-Optimal Design of Experiments via Regret Minimization ICML 2017 Near Optimal Sketching of Low-Rank Tensor Regression NeurIPS 2017 Neural Expectation Maximization NeurIPS 2017 NeuralFDR: Learning Discovery Thresholds from Hypothesis Features NeurIPS 2017 Neural Graphical Models over Strings for Principal Parts Morphological Paradigm Completion EACL 2017 Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices EACL 2017