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)

Local Minimax Complexity of Stochastic Convex Optimization NeurIPS 2016 Local Network Community Detection with Continuous Optimization of Conductance and Weighted Kernel K-Means JMLR 2016 Local Sparsity Based Online Dictionary Learning for Environment-Adaptive Speech Enhancement with Nonnegative Matrix Factorization Interspeech 2016 Loss Bounds and Time Complexity for Speed Priors AISTATS 2016 Low-Rank and Sparse Structure Pursuit via Alternating Minimization AISTATS 2016 Low-Rank Regression with Tensor Responses NeurIPS 2016 Low-rank Solutions of Linear Matrix Equations via Procrustes Flow ICML 2016 Low-rank tensor completion: a Riemannian manifold preconditioning approach ICML 2016 Machine Learning in an Auction Environment JMLR 2016 Mapping Estimation for Discrete Optimal Transport NeurIPS 2016 Matrix Completion has No Spurious Local Minimum NeurIPS 2016 Maximal Sparsity with Deep Networks? NeurIPS 2016 Maximization of Approximately Submodular Functions NeurIPS 2016 Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NeurIPS 2016 Megaman: Scalable Manifold Learning in Python JMLR 2016 Memory Efficient Max Flow for Multi-Label Submodular MRFs CVPR 2016 MetaGrad: Multiple Learning Rates in Online Learning NeurIPS 2016 Minimax Adaptive Estimation of Nonparametric Hidden Markov Models JMLR 2016 Minimizing Regret on Reflexive Banach Spaces and Nash Equilibria in Continuous Zero-Sum Games NeurIPS 2016 Min Norm Point Algorithm for Higher Order MRF-MAP Inference CVPR 2016 Mixed Linear Regression with Multiple Components NeurIPS 2016 ML Parameter Generation with a Reformulated MGE Training Criterion — Participation in the Voice Conversion Challenge 2016 Interspeech 2016 MOCCA: Mirrored Convex/Concave Optimization for Nonconvex Composite Functions JMLR 2016 Monte Carlo Markov Chain Algorithms for Sampling Strongly Rayleigh Distributions and Determinantal Point Processes COLT 2016 Moral Lineage Tracing CVPR 2016