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

133

171

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398

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487

649

812

1,162

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1,487

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2000

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Papers (including subtopics)

Randomized Pruning: Efficiently Calculating Expectations in Large Dynamic Programs NeurIPS 2009 Reconstruction of Sparse Circuits Using Multi-neuronal Excitation (RESCUME) NeurIPS 2009 Riffled Independence for Ranked Data NeurIPS 2009 Robust Principal Component Analysis: Exact Recovery of Corrupted Low-Rank Matrices via Convex Optimization NeurIPS 2009 Robust Value Function Approximation Using Bilinear Programming NeurIPS 2009 Semi-supervised Learning using Sparse Eigenfunction Bases NeurIPS 2009 Settable Systems: An Extension of Pearl's Causal Model with Optimization, Equilibrium, and Learning JMLR 2009 SGD-QN: Careful Quasi-Newton Stochastic Gradient Descent JMLR 2009 Slow Learners are Fast NeurIPS 2009 Solving Stochastic Games NeurIPS 2009 Sparse Estimation Using General Likelihoods and Non-Factorial Priors NeurIPS 2009 Sparse Metric Learning via Smooth Optimization NeurIPS 2009 Statistical Analysis of Semi-Supervised Learning: The Limit of Infinite Unlabelled Data NeurIPS 2009 Strategy Grafting in Extensive Games NeurIPS 2009 Streaming k-means approximation NeurIPS 2009 Streaming Pointwise Mutual Information NeurIPS 2009 Submodularity Cuts and Applications NeurIPS 2009 Thresholding Procedures for High Dimensional Variable Selection and Statistical Estimation NeurIPS 2009 Tracking Dynamic Sources of Malicious Activity at Internet Scale NeurIPS 2009 Unsupervised Feature Selection for the k-means Clustering Problem NeurIPS 2009 Accelerating Bayesian Inference over Nonlinear Differential Equations with Gaussian Processes NeurIPS 2008 A Convex Upper Bound on the Log-Partition Function for Binary Distributions NeurIPS 2008 Adapting to a Market Shock: Optimal Sequential Market-Making NeurIPS 2008 Adaptive Forward-Backward Greedy Algorithm for Sparse Learning with Linear Models NeurIPS 2008 Adaptive Template Matching with Shift-Invariant Semi-NMF NeurIPS 2008