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)

KIPPI: KInetic Polygonal Partitioning of Images CVPR 2018 Labeled Graph Clustering via Projected Gradient Descent AISTATS 2018 Langevin Monte Carlo and JKO splitting COLT 2018 Large Scale computation of Means and Clusters for Persistence Diagrams using Optimal Transport NeurIPS 2018 Large Scale Empirical Risk Minimization via Truncated Adaptive Newton Method AISTATS 2018 Large-Scale Sparse Inverse Covariance Estimation via Thresholding and Max-Det Matrix Completion ICML 2018 Large-Scale Stochastic Sampling from the Probability Simplex NeurIPS 2018 Latent RANSAC CVPR 2018 Layerwise Systematic Scan: Deep Boltzmann Machines and Beyond AISTATS 2018 Leadership in Singleton Congestion Games IJCAI 2018 LeapsAndBounds: A Method for Approximately Optimal Algorithm Configuration ICML 2018 Learning a Mixture of Two Multinomial Logits ICML 2018 Learning Bounds for Greedy Approximation with Explicit Feature Maps from Multiple Kernels NeurIPS 2018 Learning Certifiably Optimal Rule Lists for Categorical Data JMLR 2018 Learning convex bounds for linear quadratic control policy synthesis NeurIPS 2018 Learning Descriptor Networks for 3D Shape Synthesis and Analysis CVPR 2018 Learning from Group Comparisons: Exploiting Higher Order Interactions NeurIPS 2018 Learning Generative ConvNets via Multi-Grid Modeling and Sampling CVPR 2018 Learning Generative Models with Sinkhorn Divergences AISTATS 2018 Learning in Reproducing Kernel Kreı̆n Spaces ICML 2018 Learning Latent Permutations with Gumbel-Sinkhorn Networks ICLR 2018 Learning Optimal Causal Graphs with Exact Search PGM 2018 Learning Optimal Reserve Price against Non-myopic Bidders NeurIPS 2018 Learning To Learn Around A Common Mean NeurIPS 2018 Learning to Optimize Combinatorial Functions ICML 2018