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Optimization

341 directly classified papers

Papers per year

Papers

Achieving budget-optimality with adaptive schemes in crowdsourcing NIPS 2016
MetaGrad: Multiple Learning Rates in Online Learning NIPS 2016
Algorithms and matching lower bounds for approximately-convex optimization NIPS 2016
Structured Matrix Recovery via the Generalized Dantzig Selector NIPS 2016
Optimal Learning for Multi-pass Stochastic Gradient Methods NIPS 2016
The Power of Optimization from Samples NIPS 2016
Estimating Jaccard Index with Missing Observations: A Matrix Calibration Approach NIPS 2015
L0TV: A New Method for Image Restoration in the Presence of Impulse Noise CVPR 2015
Building Proteins in a Day: Efficient 3D Molecular Reconstruction CVPR 2015
Black-box optimization of noisy functions with unknown smoothness NIPS 2015
Beyond Convexity: Stochastic Quasi-Convex Optimization NIPS 2015
Adaptive Stochastic Optimization: From Sets to Paths NIPS 2015
Submodular meets Structured: Finding Diverse Subsets in Exponentially-Large Structured Item Sets NIPS 2014
Partition-wise Linear Models NIPS 2014
Communication-Efficient Distributed Dual Coordinate Ascent NIPS 2014
Optimal decision-making with time-varying evidence reliability NIPS 2014
Gaussian Process Optimization with Mutual Information ICML 2014
Safe Screening with Variational Inequalities and Its Application to Lasso ICML 2014
Delay-Tolerant Algorithms for Asynchronous Distributed Online Learning NIPS 2014
Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization NIPS 2014
Multi-target Tracking with Motion Context in Tensor Power Iteration CVPR 2014
Single Image Layer Separation using Relative Smoothness CVPR 2014
Non-strongly-convex smooth stochastic approximation with convergence rate O(1/n) NIPS 2013
Robust Canonical Time Warping for the Alignment of Grossly Corrupted Sequences CVPR 2013
Sinkhorn Distances: Lightspeed Computation of Optimal Transport NIPS 2013