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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 Sensitivity Analysis of (and Practitioners’ Guide to) Convolutional Neural Networks for Sentence Classification IJCNLP 2017 A Sequence Labeling Convolutional Network and Its Application to Handwritten String Recognition IJCAI 2017 A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening NeurIPS 2017 A Simple Multi-Class Boosting Framework with Theoretical Guarantees and Empirical Proficiency ICML 2017 A Simulated Annealing Based Inexact Oracle for Wasserstein Loss Minimization ICML 2017 A Spectral Algorithm for Inference in Hidden semi-Markov Models JMLR 2017 A Stochastic Nonconvex Splitting Method for Symmetric Nonnegative Matrix Factorization AISTATS 2017 A Strongly Quasiconvex PAC-Bayesian Bound ALT 2017 A Study of Unrestricted Abstract Argumentation Frameworks IJCAI 2017 A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification ACML 2017 A survey of Algorithms and Analysis for Adaptive Online Learning JMLR 2017 Asymptotically exact inference in differentiable generative models AISTATS 2017 Asymptotic Analysis of Objectives Based on Fisher Information in Active Learning JMLR 2017 Asymptotic behavior of Support Vector Machine for spiked population model JMLR 2017 Asynchronous Coordinate Descent under More Realistic Assumptions NeurIPS 2017 Asynchronous Distributed Variational Gaussian Process for Regression ICML 2017 Asynchronous Parallel Coordinate Minimization for MAP Inference NeurIPS 2017 Asynchronous Stochastic Gradient Descent with Delay Compensation ICML 2017 A Trust-based Mixture of Gaussian Processes Model for Reliable Regression in Participatory Sensing IJCAI 2017 Attributing Hacks AISTATS 2017 A Unified Analysis of Stochastic Optimization Methods Using Jump System Theory and Quadratic Constraints COLT 2017 A Unified Computational and Statistical Framework for Nonconvex Low-rank Matrix Estimation AISTATS 2017 A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification JMLR 2017 A Unified Framework for Structured Prediction: From Theory to Practice EMNLP 2017 A Unified Maximum Likelihood Approach for Estimating Symmetric Properties of Discrete Distributions ICML 2017