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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)

Amortized Population Gibbs Samplers with Neural Sufficient Statistics ICML 2020 Amortized variance reduction for doubly stochastic objective UAI 2020 A Multi-Channel Neural Graphical Event Model with Negative Evidence AAAI 2020 A Multigrid Method for Efficiently Training Video Models CVPR 2020 A Multi-Hypothesis Approach to Color Constancy CVPR 2020 An Accelerated DFO Algorithm for Finite-sum Convex Functions ICML 2020 An adaptive stochastic optimization algorithm for resource allocation ALT 2020 An ADMM Based Framework for AutoML Pipeline Configuration AAAI 2020 Analogy Between Concepts (Extended Abstract) IJCAI 2020 Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NeurIPS 2020 Analysis of One-to-One Matching Mechanisms via SAT Solving: Impossibilities for Universal Axioms AAAI 2020 Analytical Probability Distributions and Exact Expectation-Maximization for Deep Generative Networks NeurIPS 2020 Analytic Characterization of the Hessian in Shallow ReLU Models: A Tale of Symmetry NeurIPS 2020 An Analysis Framework for Metric Voting based on LP Duality AAAI 2020 An analytic theory of shallow networks dynamics for hinge loss classification NeurIPS 2020 An approximate KLD based experimental design for models with intractable likelihoods AISTATS 2020 An Asymptotic Rate for the LASSO Loss AISTATS 2020 A Natural Lottery Ticket Winner: Reinforcement Learning with Ordinary Neural Circuits ICML 2020 Ancestral Gumbel-Top-k Sampling for Sampling Without Replacement JMLR 2020 Anchor Box Optimization for Object Detection WACV 2020 Anderson Acceleration of Proximal Gradient Methods ICML 2020 A Nearly Optimal Variant of the Perceptron Algorithm for the Uniform Distribution on the Unit Sphere COLT 2020 A Near-Optimal Change-Detection Based Algorithm for Piecewise-Stationary Combinatorial Semi-Bandits AAAI 2020 An Effective Hard Thresholding Method Based on Stochastic Variance Reduction for Nonconvex Sparse Learning AAAI 2020 An Effectiveness Metric for Ordinal Classification: Formal Properties and Experimental Results ACL 2020