Papers
Counting and Exploring Sizes of Markov Equivalence Classes of Directed Acyclic Graphs
Yangbo He, Jinzhu Jia, Bin Yu
A General Framework for Fast Stagewise Algorithms
Ryan J. Tibshirani
Bayesian Nonparametric Covariance Regression
Emily B. Fox, David B. Dunson
Complexity of Equivalence and Learning for Multiplicity Tree Automata
Ines Marusic, James Worrell
The Libra Toolkit for Probabilistic Models
Daniel Lowd, Amirmohammad Rooshenas
From Dependency to Causality: A Machine Learning Approach
Gianluca Bontempi, Maxime Flauder
Geometry and Expressive Power of Conditional Restricted Boltzmann Machines
Guido Montúfar, Nihat Ay, Keyan Ghazi-Zahedi
Multiclass Learnability and the ERM Principle
Amit Daniely, Sivan Sabato, Shai Ben-David et al.
Achievability of Asymptotic Minimax Regret by Horizon-Dependent and Horizon-Independent Strategies
Kazuho Watanabe, Teemu Roos
Agnostic Insurability of Model Classes
Narayana Santhanam, Venkat Anantharam
Concave Penalized Estimation of Sparse Gaussian Bayesian Networks
Bryon Aragam, Qing Zhou
Adaptive Strategy for Stratified Monte Carlo Sampling
Alexandra Carpentier, Remi Munos, András Antos
Existence and Uniqueness of Proper Scoring Rules
Evgeni Y. Ovcharov
Constraint-based Causal Discovery from Multiple Interventions over Overlapping Variable Sets
Sofia Triantafillou, Ioannis Tsamardinos
On Linearly Constrained Minimum Variance Beamforming
Jian Zhang, Chao Liu
Photonic Delay Systems as Machine Learning Implementations
Michiel Hermans, Miguel C. Soriano, Joni Dambre et al.
Learning Using Privileged Information: Similarity Control and Knowledge Transfer
Vladimir Vapnik, Rauf Izmailov
Predicting a Switching Sequence of Graph Labelings
Mark Herbster, Stephen Pasteris, Massimiliano Pontil
Towards an Axiomatic Approach to Hierarchical Clustering of Measures
Philipp Thomann, Ingo Steinwart, Nico Schmid
Semi-Supervised Interpolation in an Anticausal Learning Scenario
Dominik Janzing, Bernhard Schölkopf
Exceptional Rotations of Random Graphs: A VC Theory
Louigi Addario-Berry, Shankar Bhamidi, Sébastien Bubeck et al.
Sharp Oracle Bounds for Monotone and Convex Regression Through Aggregation
Pierre C. Bellec, Alexandre B. Tsybakov
On the Asymptotic Normality of an Estimate of a Regression Functional
László Györfi, Harro Walk
Fast Rates in Statistical and Online Learning
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta et al.
Optimal Estimation of Low Rank Density Matrices
Vladimir Koltchinskii, Dong Xia