Mathematics & Optimization

Object Partitioning using Local Convexity CVPR 2014 Occluding Contours for Multi-View Stereo CVPR 2014 On Communication Cost of Distributed Statistical Estimation and Dimensionality NeurIPS 2014 On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning AISTATS 2014 One Practical Algorithm for Both Stochastic and Adversarial Bandits ICML 2014 On Integrated Clustering and Outlier Detection NeurIPS 2014 On Iterative Hard Thresholding Methods for High-dimensional M-Estimation NeurIPS 2014 Online combinatorial optimization with stochastic decision sets and adversarial losses NeurIPS 2014 Online Decision-Making in General Combinatorial Spaces NeurIPS 2014 Online Learning in Markov Decision Processes with Changing Cost Sequences ICML 2014 Online Linear Optimization via Smoothing COLT 2014 Online Optimization for Max-Norm Regularization NeurIPS 2014 On Measure Concentration of Random Maximum A-Posteriori Perturbations ICML 2014 On Model Parallelization and Scheduling Strategies for Distributed Machine Learning NeurIPS 2014 On p-norm Path Following in Multiple Kernel Learning for Non-linear Feature Selection ICML 2014 On Prior Distributions and Approximate Inference for Structured Variables NeurIPS 2014 On Projective Reconstruction In Arbitrary Dimensions CVPR 2014 On Sparse Gaussian Chain Graph Models NeurIPS 2014 On the convergence of no-regret learning in selfish routing ICML 2014 On the Convergence Rate of Decomposable Submodular Function Minimization NeurIPS 2014 On the Information Theoretic Limits of Learning Ising Models NeurIPS 2014 On the Quotient Representation for the Essential Manifold CVPR 2014 Open Problem: Online Local Learning COLT 2014 Open Problem: Shifting Experts on Easy Data COLT 2014 Open Problem: Tightness of maximum likelihood semidefinite relaxations COLT 2014