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Optimization

14,207 papers

Papers per year

Papers

Approximate maximum entropy principles via Goemans-Williamson with applications to provable variational methods NIPS 2016
Fast Distributed Submodular Cover: Public-Private Data Summarization NIPS 2016
A Non-convex One-Pass Framework for Generalized Factorization Machine and Rank-One Matrix Sensing NIPS 2016
Optimal Sparse Linear Encoders and Sparse PCA NIPS 2016
MetaGrad: Multiple Learning Rates in Online Learning NIPS 2016
Efficient Second Order Online Learning by Sketching NIPS 2016
Adaptive Averaging in Accelerated Descent Dynamics NIPS 2016
Algorithms and matching lower bounds for approximately-convex optimization NIPS 2016
The Parallel Knowledge Gradient Method for Batch Bayesian Optimization NIPS 2016
Stochastic Variance Reduction Methods for Saddle-Point Problems NIPS 2016
Learning Supervised PageRank with Gradient-Based and Gradient-Free Optimization Methods NIPS 2016
Globally Optimal Training of Generalized Polynomial Neural Networks with Nonlinear Spectral Methods NIPS 2016
Optimal Black-Box Reductions Between Optimization Objectives NIPS 2016
Split LBI: An Iterative Regularization Path with Structural Sparsity NIPS 2016
Mapping Estimation for Discrete Optimal Transport NIPS 2016
Greedy Feature Construction NIPS 2016
Dynamic Network Surgery for Efficient DNNs NIPS 2016
Cyclades: Conflict-free Asynchronous Machine Learning NIPS 2016
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NIPS 2016
Dimension-Free Iteration Complexity of Finite Sum Optimization Problems NIPS 2016
Stochastic Optimization for Large-scale Optimal Transport NIPS 2016
The Sound of APALM Clapping: Faster Nonsmooth Nonconvex Optimization with Stochastic Asynchronous PALM NIPS 2016
Coresets for Scalable Bayesian Logistic Regression NIPS 2016
Maximizing Influence in an Ising Network: A Mean-Field Optimal Solution NIPS 2016
Structure-Blind Signal Recovery NIPS 2016