conftrace_

Optimization

14,850 papers (55 classified directly here)

Subtopics · a paper can sit in several, so these overlap

Continuous Optimization (4,424) Stochastic Methods (2,991) Combinatorial Optimization (2,615) Online Algorithms (2,404) Optimization (1,521) Game Theory (1,046) Convex Optimization (864) Discrete Optimization (721) Optimal Transport (474) Sparse Optimization (416) Optimal Control (271) Global Optimization (200) Non-Convex Optimization (182) Distributed Learning (164) Approximation Algorithms (162) Multi-Objective Optimization (151) Distributed Optimization (136) Bayesian Optimization (132) Theory (109) Compressed Sensing (102) Algorithms (89) Robust Optimization (86) Submodular Optimization (77) Kernel Methods (75) Evolutionary Algorithm (72) Linear Programming (54) Tensor Decomposition (48) Bilevel Optimization (42) Integer Programming (38) Matrix Completion (33) Algorithm (21) Regularization (11)

Papers per year

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102

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1,162

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Papers (including subtopics)

Differentiable Convex Optimization Layers NeurIPS 2019 Differentiable Game Mechanics JMLR 2019 Differentiable Linearized ADMM ICML 2019 Differentiable Ranking and Sorting using Optimal Transport NeurIPS 2019 Differentiable reservoir computing JMLR 2019 Differential Inclusions for Modeling Nonsmooth ADMM Variants: A Continuous Limit Theory ICML 2019 Differentially Private Online Submodular Minimization AISTATS 2019 Differentially Private Optimal Transport: Application to Domain Adaptation IJCAI 2019 Diffusion and Auction on Graphs IJCAI 2019 Dimensionality Reduction and (Bucket) Ranking: a Mass Transportation Approach ALT 2019 Dimensionality Reduction for Tukey Regression ICML 2019 Dimension-Free Error Bounds from Random Projections AAAI 2019 Dimension-Wise Importance Sampling Weight Clipping for Sample-Efficient Reinforcement Learning ICML 2019 DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NeurIPS 2019 Disagreement-Based Combinatorial Pure Exploration: Sample Complexity Bounds and an Efficient Algorithm COLT 2019 Discovering Dialog Rules by Means of an Evolutionary Approach Interspeech 2019 Discovering Reliable Dependencies from Data: Hardness and Improved Algorithms IJCAI 2019 Discrepancy, Coresets, and Sketches in Machine Learning COLT 2019 Discrete Laplace Operator Estimation for Dynamic 3D Reconstruction ICCV 2019 Discriminator optimal transport NeurIPS 2019 Dispatching Through Pricing: Modeling Ride-Sharing and Designing Dynamic Prices IJCAI 2019 Distributed estimation of the inverse Hessian by determinantal averaging NeurIPS 2019 Distributed Inexact Newton-type Pursuit for Non-convex Sparse Learning AISTATS 2019 Distributed Learning with Sublinear Communication ICML 2019 Distributed Low-rank Matrix Factorization With Exact Consensus NeurIPS 2019