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

1,353

1,487

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Papers (including subtopics)

Improving Graph Matching via Density Maximization ICCV 2013 Incorporating User Interaction and Topological Constraints within Contour Completion via Discrete Calculus CVPR 2013 Incremental Block Cholesky Factorization for Nonlinear Least Squares in Robotics RSS 2013 Infinitesimal Annealing for Training Semi-Supervised Support Vector Machines ICML 2013 Information-theoretic lower bounds for distributed statistical estimation with communication constraints NeurIPS 2013 Intersecting singularities for multi-structured estimation ICML 2013 Inverse Density as an Inverse Problem: the Fredholm Equation Approach NeurIPS 2013 JKernelMachines: A Simple Framework for Kernel Machines JMLR 2013 Joint Geodesic Upsampling of Depth Images CVPR 2013 Joint Optimization for Consistent Multiple Graph Matching ICCV 2013 Joint Sparsity-Based Representation and Analysis of Unconstrained Activities CVPR 2013 Keyframe-Based Visual-Inertial SLAM using Nonlinear Optimization RSS 2013 Kinodynamic Planning in the Configuration Space via Admissible Velocity Propagation RSS 2013 k-Prototype Learning for 3D Rigid Structures NeurIPS 2013 Large Scale Distributed Sparse Precision Estimation NeurIPS 2013 Lasso Screening Rules via Dual Polytope Projection NeurIPS 2013 Learning Chordal Markov Networks by Constraint Satisfaction NeurIPS 2013 Learning Convex QP Relaxations for Structured Prediction ICML 2013 Learning Halfspaces Under Log-Concave Densities: Polynomial Approximations and Moment Matching COLT 2013 Learning Hidden Markov Models from Non-sequence Data via Tensor Decomposition NeurIPS 2013 Learning Optimally Sparse Support Vector Machines ICML 2013 Learning Policies for Contextual Submodular Prediction ICML 2013 Learning Prices for Repeated Auctions with Strategic Buyers NeurIPS 2013 Learning Social Infectivity in Sparse Low-rank Networks Using Multi-dimensional Hawkes Processes AISTATS 2013 Learning Structured Low-Rank Representations for Image Classification CVPR 2013