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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)

A Smoothed Analysis of the Greedy Algorithm for the Linear Contextual Bandit Problem NeurIPS 2018 A Smoother Way to Train Structured Prediction Models NeurIPS 2018 A Spectral Approach to Gradient Estimation for Implicit Distributions ICML 2018 Assessing Generative Models via Precision and Recall NeurIPS 2018 Assessing Quality Estimation Models for Sentence-Level Prediction COLING 2018 Assessing the Scalability of Biologically-Motivated Deep Learning Algorithms and Architectures NeurIPS 2018 A Stable and Effective Learning Strategy for Trainable Greedy Decoding EMNLP 2018 A Stein variational Newton method NeurIPS 2018 A Stochastic Differential Equation Framework for Guiding Online User Activities in Closed Loop AISTATS 2018 A Study of Argumentative Characterisations of Preferred Subtheories IJCAI 2018 A sum-product algorithm with polynomials for computing exact derivatives of the likelihood in Bayesian networks PGM 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 A Symbolic Approach to Explaining Bayesian Network Classifiers IJCAI 2018 Asymptotic optimality of adaptive importance sampling NeurIPS 2018 Asynchronous Byzantine Machine Learning (the case of SGD) ICML 2018 Asynchronous Decentralized Parallel Stochastic Gradient Descent ICML 2018 Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018 Asynchronous Stochastic Quasi-Newton MCMC for Non-Convex Optimization ICML 2018 A Theory-Based Evaluation of Nearest Neighbor Models Put Into Practice NeurIPS 2018 A theory on the absence of spurious solutions for nonconvex and nonsmooth optimization NeurIPS 2018 A Tight Bound of Hard Thresholding JMLR 2018 ATOMO: Communication-efficient Learning via Atomic Sparsification NeurIPS 2018 A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations JMLR 2018 A Two-Step Computation of the Exact GAN Wasserstein Distance ICML 2018 Audiovisual Speech Activity Detection with Advanced Long Short-Term Memory Interspeech 2018