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)

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Papers (including subtopics)

Gradient Hard Thresholding Pursuit for Sparsity-Constrained Optimization ICML 2014 Graph Clustering With Missing Data: Convex Algorithms and Analysis NeurIPS 2014 Graph Cut based Continuous Stereo Matching using Locally Shared Labels CVPR 2014 Hard-Margin Active Linear Regression ICML 2014 Hardness of parameter estimation in graphical models NeurIPS 2014 Heavy-tailed regression with a generalized median-of-means ICML 2014 Higher-Order Clique Reduction Without Auxiliary Variables CVPR 2014 Higher-Order Regret Bounds with Switching Costs COLT 2014 Human Action Recognition Based on Context-Dependent Graph Kernels CVPR 2014 Identifying and attacking the saddle point problem in high-dimensional non-convex optimization NeurIPS 2014 Image Fusion with Local Spectral Consistency and Dynamic Gradient Sparsity CVPR 2014 Improved Bounds for Online Learning Over the Permutahedron and Other Ranking Polytopes AISTATS 2014 Improved Distributed Principal Component Analysis NeurIPS 2014 Inferring sparse representations of continuous signals with continuous orthogonal matching pursuit NeurIPS 2014 Influence Function Learning in Information Diffusion Networks ICML 2014 Input Warping for Bayesian Optimization of Non-Stationary Functions ICML 2014 Iteration Complexity of Feasible Descent Methods for Convex Optimization JMLR 2014 Joint Depth Estimation and Camera Shake Removal from Single Blurry Image CVPR 2014 Kernel Adaptive Metropolis-Hastings ICML 2014 l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence CVPR 2014 Large-Margin Convex Polytope Machine NeurIPS 2014 Large-scale L-BFGS using MapReduce NeurIPS 2014 Learning Bounded Tree-width Bayesian Networks using Integer Linear Programming AISTATS 2014 Learning Graphical Models With Hubs JMLR 2014 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014