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

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Papers (including subtopics)

Learning Mixtures of Ranking Models NeurIPS 2014 Learning Mixtures of Submodular Functions for Image Collection Summarization NeurIPS 2014 Learning Multiple Tasks in Parallel with a Shared Annotator NeurIPS 2014 Learning Optimal Bounded Treewidth Bayesian Networks via Maximum Satisfiability AISTATS 2014 Learning Optimal Commitment to Overcome Insecurity NeurIPS 2014 Learning Theory and Algorithms for revenue optimization in second price auctions with reserve ICML 2014 Learning Time-Varying Coverage Functions NeurIPS 2014 Learning to locate from demonstrated searches RSS 2014 Learning to Optimize via Information-Directed Sampling NeurIPS 2014 Learning to Search in Branch and Bound Algorithms NeurIPS 2014 Learning without concentration COLT 2014 Lifted MAP Inference for Markov Logic Networks AISTATS 2014 Linear and Parallel Learning of Markov Random Fields ICML 2014 Linear Programming for Large-Scale Markov Decision Problems ICML 2014 Linear Time Solver for Primal SVM ICML 2014 Linear-time training of nonlinear low-dimensional embeddings AISTATS 2014 Lipschitz Bandits: Regret Lower Bound and Optimal Algorithms COLT 2014 Local Linear Convergence of Forward--Backward under Partial Smoothness NeurIPS 2014 Local Ordinal Embedding ICML 2014 Local Regularity-driven City-scale Facade Detection from Aerial Images CVPR 2014 Logistic Regression: Tight Bounds for Stochastic and Online Optimization COLT 2014 Low-Cost Compressive Sensing for Color Video and Depth CVPR 2014 Low-density Parity Constraints for Hashing-Based Discrete Integration ICML 2014 Lower Bounds for the Gibbs Sampler over Mixtures of Gaussians ICML 2014 Lower Bounds on the Performance of Polynomial-time Algorithms for Sparse Linear Regression COLT 2014