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Optimization

12,959 papers (55 classified directly here)

Subtopics

Continuous Optimization (3,907) Stochastic Methods (2,788) Combinatorial Optimization (2,409) Online Algorithms (2,192) Optimization (1,207) Game Theory (944) Discrete Optimization (705) Convex Optimization (591) Optimal Transport (369) Sparse Optimization (347) Optimal Control (225) Global Optimization (190) Distributed Learning (157) Multi-Objective Optimization (125) Approximation Algorithms (110) Bayesian Optimization (100) Distributed Optimization (99) Theory (98) Non-Convex Optimization (76) Kernel Methods (73) Compressed Sensing (72) Robust Optimization (70) Evolutionary Algorithm (58) Linear Programming (43) Algorithms (10) Algorithm (10) Integer Programming (9) Submodular Optimization (9) Matrix Completion (8) Bilevel Optimization (8) Tensor Decomposition (6) Regularization (5)

Papers per year

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Papers (including subtopics)

Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling NIPS 2017
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes NIPS 2017
Online Dynamic Programming NIPS 2017
Training Deep Networks without Learning Rates Through Coin Betting NIPS 2017
Faster and Non-ergodic O(1/K) Stochastic Alternating Direction Method of Multipliers NIPS 2017
A PAC-Bayesian Analysis of Randomized Learning with Application to Stochastic Gradient Descent NIPS 2017
Non-convex Finite-Sum Optimization Via SCSG Methods NIPS 2017
First-Order Adaptive Sample Size Methods to Reduce Complexity of Empirical Risk Minimization NIPS 2017
Nonparametric Online Regression while Learning the Metric NIPS 2017
Stochastic Optimization with Variance Reduction for Infinite Datasets with Finite Sum Structure NIPS 2017
Online Learning with Transductive Regret NIPS 2017
Accelerated Stochastic Greedy Coordinate Descent by Soft Thresholding Projection onto Simplex NIPS 2017
Near Minimax Optimal Players for the Finite-Time 3-Expert Prediction Problem NIPS 2017
Learned D-AMP: Principled Neural Network based Compressive Image Recovery NIPS 2017
Revenue Optimization with Approximate Bid Predictions NIPS 2017
Nonbacktracking Bounds on the Influence in Independent Cascade Models NIPS 2017
Linear Convergence of a Frank-Wolfe Type Algorithm over Trace-Norm Balls NIPS 2017
Inference in Graphical Models via Semidefinite Programming Hierarchies NIPS 2017
Subset Selection and Summarization in Sequential Data NIPS 2017
Conic Scan-and-Cover algorithms for nonparametric topic modeling NIPS 2017
Online Learning for Multivariate Hawkes Processes NIPS 2017
Rotting Bandits NIPS 2017
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NIPS 2017
Bandits Dueling on Partially Ordered Sets NIPS 2017
Decomposition-Invariant Conditional Gradient for General Polytopes with Line Search NIPS 2017