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

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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)

On the Dubins Traveling Salesperson Problems: novel approximation algorithms RSS 2006 Optimal Change-Detection and Spiking Neurons NeurIPS 2006 Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems JMLR 2006 Particle Filtering for Nonparametric Bayesian Matrix Factorization NeurIPS 2006 QP Algorithms with Guaranteed Accuracy and Run Time for Support Vector Machines JMLR 2006 Real-time adaptive information-theoretic optimization of neurophysiology experiments NeurIPS 2006 Rearrangement Clustering: Pitfalls, Remedies, and Applications JMLR 2006 Second Order Cone Programming Approaches for Handling Missing and Uncertain Data JMLR 2006 Simplifying Mixture Models through Function Approximation NeurIPS 2006 Sparse Representation for Signal Classification NeurIPS 2006 Superior Guarantees for Sequential Prediction and Lossless Compression via Alphabet Decomposition JMLR 2006 The Robustness-Performance Tradeoff in Markov Decision Processes NeurIPS 2006 Unified Inference for Variational Bayesian Linear Gaussian State-Space Models NeurIPS 2006 Using Combinatorial Optimization within Max-Product Belief Propagation NeurIPS 2006 Adaptive Online Prediction by Following the Perturbed Leader JMLR 2005 Auction-Based Multi-Robot Routing RSS 2005 Convergence Theorems for Generalized Alternating Minimization Procedures JMLR 2005 Core Vector Machines: Fast SVM Training on Very Large Data Sets JMLR 2005 Dynamic Task Assignment in Robot Swarms RSS 2005 Efficient Computation of Gapped Substring Kernels on Large Alphabets JMLR 2005 Estimating Functions for Blind Separation When Sources Have Variance Dependencies JMLR 2005 Information Bottleneck for Gaussian Variables JMLR 2005 Learning from Examples as an Inverse Problem JMLR 2005 Learning the Kernel Function via Regularization JMLR 2005 Learning the Kernel with Hyperkernels JMLR 2005