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)

Reinforcement Learning with Function-Valued Action Spaces for Partial Differential Equation Control ICML 2018 Relating Leverage Scores and Density using Regularized Christoffel Functions NeurIPS 2018 Reparameterizing the Birkhoff Polytope for Variational Permutation Inference AISTATS 2018 Representations of Bayesian networks by low-rank models PGM 2018 Representing and Learning High Dimensional Data With the Optimal Transport Map From a Probabilistic Viewpoint CVPR 2018 ResQ: Enabling SLOs in Network Function Virtualization NSDI 2018 Rest-Katyusha: Exploiting the Solution's Structure via Scheduled Restart Schemes NeurIPS 2018 Revisiting Decomposable Submodular Function Minimization with Incidence Relations NeurIPS 2018 Ridge Regression and Provable Deterministic Ridge Leverage Score Sampling NeurIPS 2018 Riemannian stochastic quasi-Newton algorithm with variance reduction and its convergence analysis AISTATS 2018 Riemannian Stochastic Recursive Gradient Algorithm ICML 2018 Robust Graph Dimensionality Reduction IJCAI 2018 Robust Maximization of Non-Submodular Objectives AISTATS 2018 Robust Multi-view Learning via Half-quadratic Minimization IJCAI 2018 Robust PCA by Manifold Optimization JMLR 2018 Robust Subspace Approximation in a Stream NeurIPS 2018 Robust Vertex Enumeration for Convex Hulls in High Dimensions AISTATS 2018 Rotation Averaging and Strong Duality CVPR 2018 RSG: Beating Subgradient Method without Smoothness and Strong Convexity JMLR 2018 SADAGRAD: Strongly Adaptive Stochastic Gradient Methods ICML 2018 Safe Element Screening for Submodular Function Minimization ICML 2018 SAFFRON: an Adaptive Algorithm for Online Control of the False Discovery Rate ICML 2018 Sample Efficient Stochastic Gradient Iterative Hard Thresholding Method for Stochastic Sparse Linear Regression with Limited Attribute Observation NeurIPS 2018 Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018 Sampling-Based Approximation Algorithms for Reachability Analysis with Provable Guarantees RSS 2018