Optimization

Tracking Approximate Solutions of Parameterized Optimization Problems over Multi-Dimensional (Hyper-)Parameter Domains ICML 2015 Variance Reduced Stochastic Gradient Descent with Neighbors NeurIPS 2015 A Block-Coordinate Descent Approach for Large-scale Sparse Inverse Covariance Estimation NeurIPS 2014 Anti-differentiating approximation algorithms:A case study with min-cuts, spectral, and flow ICML 2014 A* Sampling NeurIPS 2014 A second-order bound with excess losses COLT 2014 A Statistical Convergence Perspective of Algorithms for Rank Aggregation from Pairwise Data ICML 2014 A Statistical Decision-Theoretic Framework for Social Choice NeurIPS 2014 A Tensor Approach to Learning Mixed Membership Community Models JMLR 2014 Beyond the Birkhoff Polytope: Convex Relaxations for Vector Permutation Problems NeurIPS 2014 Bregman Alternating Direction Method of Multipliers NeurIPS 2014 Constrained convex minimization via model-based excessive gap NeurIPS 2014 Coordinate-descent for learning orthogonal matrices through Givens rotations ICML 2014 Density-preserving quantization with application to graph downsampling COLT 2014 DFacTo: Distributed Factorization of Tensors NeurIPS 2014 Difference of Convex Functions Programming for Reinforcement Learning NeurIPS 2014 Discrete-Continuous Gradient Orientation Estimation for Faster Image Segmentation CVPR 2014 Edge-aware Gradient Domain Optimization Framework for Image Filtering by Local Propagation CVPR 2014 Efficient Structured Matrix Rank Minimization NeurIPS 2014 Elicitation and Identification of Properties COLT 2014 Evolutionary Quasi-random Search for Hand Articulations Tracking CVPR 2014 Fast Approximate Inference in Higher Order MRF-MAP Labeling Problems CVPR 2014 Forward-Backward Greedy Algorithms for General Convex Smooth Functions over A Cardinality Constraint ICML 2014 Gaussian Processes for Bayesian Estimation in Ordinary Differential Equations ICML 2014 Generalized Higher-Order Orthogonal Iteration for Tensor Decomposition and Completion NeurIPS 2014