Mathematics & Optimization

The Alignment of the Spheres: Globally-Optimal Spherical Mixture Alignment for Camera Pose Estimation CVPR 2019 The All-or-Nothing Phenomenon in Sparse Linear Regression COLT 2019 The Broad Optimality of Profile Maximum Likelihood NeurIPS 2019 The Common-directions Method for Regularized Empirical Risk Minimization JMLR 2019 The Complexity of Making the Gradient Small in Stochastic Convex Optimization COLT 2019 The Domain Transform Solver CVPR 2019 The Gap Between Model-Based and Model-Free Methods on the Linear Quadratic Regulator: An Asymptotic Viewpoint COLT 2019 The Geometry of Deep Networks: Power Diagram Subdivision NeurIPS 2019 The Impact of Regularization on High-dimensional Logistic Regression NeurIPS 2019 The Implicit Metropolis-Hastings Algorithm NeurIPS 2019 The Kelly Growth Optimal Portfolio with Ensemble Learning AAAI 2019 The Landscape of Non-convex Empirical Risk with Degenerate Population Risk NeurIPS 2019 The limits of Spanglish? NAACL 2019 The non-parametric bootstrap and spectral analysis in moderate and high-dimension AISTATS 2019 The Parameterized Complexity of Cascading Portfolio Scheduling NeurIPS 2019 The Pure Price of Anarchy of Pool Block Withholding Attacks in Bitcoin Mining AAAI 2019 The pywmi Framework and Toolbox for Probabilistic Inference using Weighted Model Integration IJCAI 2019 The Randomized Midpoint Method for Log-Concave Sampling NeurIPS 2019 The Reduced PC-Algorithm: Improved Causal Structure Learning in Large Random Networks JMLR 2019 The Scientization of Literary Study NAACL 2019 The SpectACl of Nonconvex Clustering: A Spectral Approach to Density-Based Clustering AAAI 2019 The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares NeurIPS 2019 The Sup-norm Perturbation of HOSVD and Low Rank Tensor Denoising JMLR 2019 The Value Function Polytope in Reinforcement Learning ICML 2019 The Wasserstein Transform ICML 2019