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)

Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods NeurIPS 2012 Forging The Graphs: A Low Rank and Positive Semidefinite Graph Learning Approach NeurIPS 2012 Forward Basis Selection for Sparse Approximation over Dictionary AISTATS 2012 Fused sparsity and robust estimation for linear models with unknown variance NeurIPS 2012 Generic Methods for Optimization-Based Modeling AISTATS 2012 glm-ie: Generalised Linear Models Inference & Estimation Toolbox JMLR 2012 Globally Convergent Dual MAP LP Relaxation Solvers using Fenchel-Young Margins NeurIPS 2012 Globally Optimizing Graph Partitioning Problems Using Message Passing AISTATS 2012 Gradient Weights help Nonparametric Regressors NeurIPS 2012 Graphical Models via Generalized Linear Models NeurIPS 2012 Hierarchical Motion Planning in Topological Representations RSS 2012 High-dimensional Sparse Inverse Covariance Estimation using Greedy Methods AISTATS 2012 Interpreting prediction markets: a stochastic approach NeurIPS 2012 Iterative ranking from pair-wise comparisons NeurIPS 2012 Iterative Reweighted Algorithms for Matrix Rank Minimization JMLR 2012 Iterative Thresholding Algorithm for Sparse Inverse Covariance Estimation NeurIPS 2012 Joint Estimation of Structured Sparsity and Output Structure in Multiple-Output Regression via Inverse-Covariance Regularization AISTATS 2012 Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing AISTATS 2012 Kernel Hyperalignment NeurIPS 2012 Large Scale Distributed Deep Networks NeurIPS 2012 Learning Halfspaces with the Zero-One Loss: Time-Accuracy Tradeoffs NeurIPS 2012 Learning Probability Measures with respect to Optimal Transport Metrics NeurIPS 2012 Learning Valuation Functions COLT 2012 Lifted coordinate descent for learning with trace-norm regularization AISTATS 2012 Lifted Linear Programming AISTATS 2012