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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649

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1,162

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2000

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Papers (including subtopics)

Learning Nonlinear Dynamic Models from Non-sequenced Data AISTATS 2010 Learning Policy Improvements with Path Integrals AISTATS 2010 Learning sparse dynamic linear systems using stable spline kernels and exponential hyperpriors NeurIPS 2010 libDAI: A Free and Open Source C++ Library for Discrete Approximate Inference in Graphical Models JMLR 2010 Linear Complementarity for Regularized Policy Evaluation and Improvement NeurIPS 2010 Link Discovery using Graph Feature Tracking NeurIPS 2010 Lower Bounds on Rate of Convergence of Cutting Plane Methods NeurIPS 2010 LQG-MP: Optimized Path Planning for Robots with Motion Uncertainty and Imperfect State Information RSS 2010 MAP estimation in Binary MRFs via Bipartite Multi-cuts NeurIPS 2010 Matrix Completion from Noisy Entries JMLR 2010 Maximum-likelihood learning of cumulative distribution functions on graphs AISTATS 2010 Message-passing for Graph-structured Linear Programs: Proximal Methods and Rounding Schemes JMLR 2010 Minimum Average Cost Clustering NeurIPS 2010 Moreau-Yosida Regularization for Grouped Tree Structure Learning NeurIPS 2010 Multiple Kernel Learning and the SMO Algorithm NeurIPS 2010 Multi-Stage Dantzig Selector NeurIPS 2010 Multivariate Dyadic Regression Trees for Sparse Learning Problems NeurIPS 2010 Near-Optimal Bayesian Active Learning with Noisy Observations NeurIPS 2010 Network Flow Algorithms for Structured Sparsity NeurIPS 2010 New Adaptive Algorithms for Online Classification NeurIPS 2010 Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable NeurIPS 2010 Non-Stochastic Bandit Slate Problems NeurIPS 2010 Occlusion Detection and Motion Estimation with Convex Optimization NeurIPS 2010 Online Classification with Specificity Constraints NeurIPS 2010 Online Learning in The Manifold of Low-Rank Matrices NeurIPS 2010