Papers
Scalable Bayes via Barycenter in Wasserstein Space
Sanvesh Srivastava, Cheng Li, David B. Dunson
Patchwork Kriging for Large-scale Gaussian Process Regression
Chiwoo Park, Daniel Apley
RSG: Beating Subgradient Method without Smoothness and Strong Convexity
Tianbao Yang, Qihang Lin
Can We Trust the Bootstrap in High-dimensions? The Case of Linear Models
Noureddine El Karoui, Elizabeth Purdom
A Hidden Absorbing Semi-Markov Model for Informatively Censored Temporal Data: Learning and Inference
Ahmed M. Alaa, Mihaela van der Schaar
A Two-Stage Penalized Least Squares Method for Constructing Large Systems of Structural Equations
Chen Chen, Min Ren, Min Zhang et al.
Numerical Analysis near Singularities in RBF Networks
Weili Guo, Haikun Wei, Yew-Soon Ong et al.
Learning Certifiably Optimal Rule Lists for Categorical Data
Elaine Angelino, Nicholas Larus-Stone, Daniel Alabi et al.
Characteristic and Universal Tensor Product Kernels
Zoltán Szabó, Bharath K. Sriperumbudur
A Cluster Elastic Net for Multivariate Regression
Bradley S. Price, Ben Sherwood
Concentration inequalities for empirical processes of linear time series
Likai Chen, Wei Biao Wu
CoCoA: A General Framework for Communication-Efficient Distributed Optimization
Virginia Smith, Simone Forte, Chenxin Ma et al.
Interactive Algorithms: Pool, Stream and Precognitive Stream
Sivan Sabato, Tom Hess
A Theory of Learning with Corrupted Labels
Brendan van Rooyen, Robert C. Williamson
Rate of Convergence of k-Nearest-Neighbor Classification Rule
Maik Döring, László Györfi, Harro Walk
Statistical Inference on Random Dot Product Graphs: a Survey
Avanti Athreya, Donniell E. Fishkind, Minh Tang et al.
Improved spectral community detection in large heterogeneous networks
Hafiz TIOMOKO ALI, Romain COUILLET
Learning Quadratic Variance Function (QVF) DAG Models via OverDispersion Scoring (ODS)
Gunwoong Park, Garvesh Raskutti
Parallelizing Stochastic Gradient Descent for Least Squares Regression: Mini-batching, Averaging, and Model Misspecification
Prateek Jain, Sham M. Kakade, Rahul Kidambi et al.
Average Stability is Invariant to Data Preconditioning. Implications to Exp-concave Empirical Risk Minimization
Alon Gonen, Shai Shalev-Shwartz
Complete Graphical Characterization and Construction of Adjustment Sets in Markov Equivalence Classes of Ancestral Graphs
Emilija Perković, Johannes Textor, Markus Kalisch et al.
Compact Convex Projections
Steffen Grünewälder
Sketched Ridge Regression: Optimization Perspective, Statistical Perspective, and Model Averaging
Shusen Wang, Alex Gittens, Michael W. Mahoney