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)

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Papers (including subtopics)

Recovery of Coherent Data via Low-Rank Dictionary Pursuit NeurIPS 2014 Reducing Dueling Bandits to Cardinal Bandits ICML 2014 Reducing the Rank in Relational Factorization Models by Including Observable Patterns NeurIPS 2014 Relative Pose Estimation for a Multi-Camera System with Known Vertical Direction CVPR 2014 Repeated Contextual Auctions with Strategic Buyers NeurIPS 2014 Riemannian Pursuit for Big Matrix Recovery ICML 2014 Robust and Efficient Kernel Hyperparameter Paths with Guarantees ICML 2014 Robust Logistic Regression and Classification NeurIPS 2014 Robust Multi-objective Learning with Mentor Feedback COLT 2014 Robust Near-Separable Nonnegative Matrix Factorization Using Linear Optimization JMLR 2014 Robust Online Gesture Recognition with Crowdsourced Annotations JMLR 2014 Robust Orthonormal Subspace Learning: Efficient Recovery of Corrupted Low-rank Matrices CVPR 2014 Robust Separation of Reflection from Multiple Images CVPR 2014 Robust Surface Reconstruction via Triple Sparsity CVPR 2014 Robust Tensor Decomposition with Gross Corruption NeurIPS 2014 Rounding-based Moves for Metric Labeling NeurIPS 2014 Saddle Points and Accelerated Perceptron Algorithms ICML 2014 SAGA: A Fast Incremental Gradient Method With Support for Non-Strongly Convex Composite Objectives NeurIPS 2014 Sample Complexity Bounds on Differentially Private Learning via Communication Complexity COLT 2014 Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature NeurIPS 2014 Scalable Kernel Methods via Doubly Stochastic Gradients NeurIPS 2014 Scalable Methods for Nonnegative Matrix Factorizations of Near-separable Tall-and-skinny Matrices NeurIPS 2014 Scalable Semidefinite Relaxation for Maximum A Posterior Estimation ICML 2014 Scaling Up Robust MDPs using Function Approximation ICML 2014 SCAMS: Simultaneous Clustering and Model Selection CVPR 2014