Papers
Theoretical Analysis of Cross-Validation for Estimating the Risk of the k-Nearest Neighbor Classifier
Alain Celisse, Tristan Mary-Huard
On Semiparametric Exponential Family Graphical Models
Zhuoran Yang, Yang Ning, Han Liu
Modular Proximal Optimization for Multidimensional Total-Variation Regularization
Alvaro Barbero, Suvrit Sra
Fast MCMC Sampling Algorithms on Polytopes
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright et al.
How Deep Are Deep Gaussian Processes?
Matthew M. Dunlop, Mark A. Girolami, Andrew M. Stuart et al.
Profile-Based Bandit with Unknown Profiles
Sylvain Lamprier, Thibault Gisselbrecht, Patrick Gallinari
Accelerating Cross-Validation in Multinomial Logistic Regression with ℓ_1-Regularization
Tomoyuki Obuchi, Yoshiyuki Kabashima
Covariances, Robustness, and Variational Bayes
Ryan Giordano, Tamara Broderick, Michael I. Jordan
Emergence of Invariance and Disentanglement in Deep Representations
Alessandro Achille, Stefano Soatto
Design and Analysis of the NIPS 2016 Review Process
Nihar B. Shah, Behzad Tabibian, Krikamol Muandet et al.
On Generalized Bellman Equations and Temporal-Difference Learning
Huizhen Yu, A. Rupam Mahmood, Richard S. Sutton
Harmonic Mean Iteratively Reweighted Least Squares for Low-Rank Matrix Recovery
Christian Kümmerle, Juliane Sigl
On Tight Bounds for the Lasso
Sara van de Geer
Kernel Distribution Embeddings: Universal Kernels, Characteristic Kernels and Kernel Metrics on Distributions
Carl-Johann Simon-Gabriel, Bernhard Schölkopf
Markov Blanket and Markov Boundary of Multiple Variables
Xu-Qing Liu, Xin-Sheng Liu
Connections with Robust PCA and the Role of Emergent Sparsity in Variational Autoencoder Models
Bin Dai, Yu Wang, John Aston et al.
Learning from Comparisons and Choices
Sahand Negahban, Sewoong Oh, Kiran K. Thekumparampil et al.
Local Rademacher Complexity-based Learning Guarantees for Multi-Task Learning
Niloofar Yousefi, Yunwen Lei, Marius Kloft et al.
The xyz algorithm for fast interaction search in high-dimensional data
Gian-Andrea Thanei, Nicolai Meinshausen, Rajen D. Shah
Invariant Models for Causal Transfer Learning
Mateo Rojas-Carulla, Bernhard Schölkopf, Richard Turner et al.
Kernel Density Estimation for Dynamical Systems
Hanyuan Hang, Ingo Steinwart, Yunlong Feng et al.
A Spectral Approach for the Design of Experiments: Design, Analysis and Algorithms
Bhavya Kailkhura, Jayaraman J. Thiagarajan, Charvi Rastogi et al.