Optimization

Volumetric Spanners: An Efficient Exploration Basis for Learning JMLR 2016 Wasserstein Training of Restricted Boltzmann Machines NeurIPS 2016 Why Regularized Auto-Encoders learn Sparse Representation? ICML 2016 Without-Replacement Sampling for Stochastic Gradient Methods NeurIPS 2016 3D Shape Estimation From 2D Landmarks: A Convex Relaxation Approach CVPR 2015 Accelerated Mirror Descent in Continuous and Discrete Time NeurIPS 2015 Accelerated Proximal Gradient Methods for Nonconvex Programming NeurIPS 2015 Achieving All with No Parameters: AdaNormalHedge COLT 2015 A Consistent Method for Graph Based Anomaly Localization AISTATS 2015 A Convergent Gradient Descent Algorithm for Rank Minimization and Semidefinite Programming from Random Linear Measurements NeurIPS 2015 A Convex Exemplar-based Approach to MAD-Bayes Dirichlet Process Mixture Models ICML 2015 Action Localization in Videos Through Context Walk ICCV 2015 Active One-Shot Scan for Wide Depth Range Using a Light Field Projector Based on Coded Aperture ICCV 2015 Adaptive Exponential Smoothing for Online Filtering of Pixel Prediction Maps ICCV 2015 Adaptive Eye-Camera Calibration for Head-Worn Devices CVPR 2015 Adaptive Hashing for Fast Similarity Search ICCV 2015 Adaptive Primal-Dual Splitting Methods for Statistical Learning and Image Processing NeurIPS 2015 Adaptive Recovery of Signals by Convex Optimization COLT 2015 Adaptive Stochastic Alternating Direction Method of Multipliers ICML 2015 Adaptive Stochastic Optimization: From Sets to Paths NeurIPS 2015 A Direct Estimation of High Dimensional Stationary Vector Autoregressions JMLR 2015 A Dual Augmented Block Minimization Framework for Learning with Limited Memory NeurIPS 2015 A fast, universal algorithm to learn parametric nonlinear embeddings NeurIPS 2015 A Flexible Tensor Block Coordinate Ascent Scheme for Hypergraph Matching CVPR 2015 A General Analysis of the Convergence of ADMM ICML 2015