Mathematics

Averaging Stochastic Gradient Descent on Riemannian Manifolds COLT 2018 Axiomatization of the PageRank Centrality IJCAI 2018 Bayesian Model Selection Approach to Boundary Detection with Non-Local Priors NeurIPS 2018 Bayesian Nonparametric Spectral Estimation NeurIPS 2018 Beating Monte Carlo Integration: a Nonasymptotic Study of Kernel Smoothing Methods AISTATS 2018 Behavior of Analogical Inference w.r.t. Boolean Functions IJCAI 2018 Belief Update in the Horn Fragment IJCAI 2018 Beyond Grobner Bases: Basis Selection for Minimal Solvers CVPR 2018 Biharmonic Distance Related Centrality for Edges in Weighted Networks IJCAI 2018 Bipartite Stochastic Block Models with Tiny Clusters NeurIPS 2018 Blind Deconvolutional Phase Retrieval via Convex Programming NeurIPS 2018 Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models JMLR 2018 Change-Point Computation for Large Graphical Models: A Scalable Algorithm for Gaussian Graphical Models with Change-Points JMLR 2018 Characteristic and Universal Tensor Product Kernels JMLR 2018 Cheap Checking for Cloud Computing: Statistical Analysis via Annotated Data Streams AISTATS 2018 Classification Transfer for Qualitative Reasoning Problems IJCAI 2018 Clustering Uncertain Graphs with Node Attributes ACML 2018 Combinatorial Preconditioners for Proximal Algorithms on Graphs AISTATS 2018 Communication Efficient Parallel Algorithms for Optimization on Manifolds NeurIPS 2018 Community Detection and Stochastic Block Models: Recent Developments JMLR 2018 Community Detection in Hypergraphs: Optimal Statistical Limit and Efficient Algorithms AISTATS 2018 Compact Convex Projections JMLR 2018 Compact-MDD: Efficiently Filtering (s)MDD Constraints with Reversible Sparse Bit-sets IJCAI 2018 Compact Representation of Uncertainty in Clustering NeurIPS 2018 Compiling Combinatorial Prediction Games ICML 2018