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)

Robust Guarantees of Stochastic Greedy Algorithms ICML 2017 Robust Optimization for Non-Convex Objectives NeurIPS 2017 Robust Quadratic Programming for Price Optimization IJCAI 2017 Robust Submodular Maximization: A Non-Uniform Partitioning Approach ICML 2017 Rotting Bandits NeurIPS 2017 Rule-Enhanced Penalized Regression by Column Generation using Rectangular Maximum Agreement ICML 2017 Safe Adaptive Importance Sampling NeurIPS 2017 Sampling from a log-concave distribution with compact support with proximal Langevin Monte Carlo COLT 2017 SAT-Based Approaches for the General High School Timetabling Problem IJCAI 2017 Scalable Convex Multiple Sequence Alignment via Entropy-Regularized Dual Decomposition AISTATS 2017 Scalable Generalized Linear Bandits: Online Computation and Hashing NeurIPS 2017 Scalable Greedy Feature Selection via Weak Submodularity AISTATS 2017 Scalable Influence Maximization for Multiple Products in Continuous-Time Diffusion Networks JMLR 2017 Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NeurIPS 2017 Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation NeurIPS 2017 Scaling Submodular Maximization via Pruned Submodularity Graphs AISTATS 2017 SCL: Simplifying Distributed SDN Control Planes NSDI 2017 Search Strategies as Synchronous Processes (Extended Abstract) IJCAI 2017 Second-Order Stochastic Optimization for Machine Learning in Linear Time JMLR 2017 Semantic Dependency Parsing via Book Embedding ACL 2017 Sharpness, Restart and Acceleration NeurIPS 2017 Sharp Oracle Inequalities for Square Root Regularization JMLR 2017 Simple strategies for recovering inner products from coarsely quantized random projections NeurIPS 2017 Simultaneous Stereo Video Deblurring and Scene Flow Estimation CVPR 2017 Simultaneous Visual Data Completion and Denoising Based on Tensor Rank and Total Variation Minimization and Its Primal-Dual Splitting Algorithm CVPR 2017