Papers
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data
Vikash Mansinghka, Patrick Shafto, Eric Jonas et al.
Pymanopt: A Python Toolbox for Optimization on Manifolds using Automatic Differentiation
James Townsend, Niklas Koep, Sebastian Weichwald
Synergy of Monotonic Rules
Vladimir Vapnik, Rauf Izmailov
Refined Error Bounds for Several Learning Algorithms
Steve Hanneke
Adjusting for Chance Clustering Comparison Measures
Simone Romano, Nguyen Xuan Vinh, James Bailey et al.
Cross-Corpora Unsupervised Learning of Trajectories in Autism Spectrum Disorders
Huseyin Melih Elibol, Vincent Nguyen, Scott Linderman et al.
Extracting PICO Sentences from Clinical Trial Reports using Supervised Distant Supervision
Byron C. Wallace, Joël Kuiper, Aakash Sharma et al.
String and Membrane Gaussian Processes
Yves-Laurent Kom Samo, Stephen J. Roberts
Multiple-Instance Learning from Distributions
Gary Doran, Soumya Ray
Dual Control for Approximate Bayesian Reinforcement Learning
Edgar D. Klenske, Philipp Hennig
On Lower and Upper Bounds in Smooth and Strongly Convex Optimization
Yossi Arjevani, Shai Shalev-Shwartz, Ohad Shamir
Bayesian Optimization for Likelihood-Free Inference of Simulator-Based Statistical Models
Michael U. Gutmann, Jukka Corander
Bootstrap-Based Regularization for Low-Rank Matrix Estimation
Julie Josse, Stefan Wager
The Constrained Dantzig Selector with Enhanced Consistency
Yinfei Kong, Zemin Zheng, Jinchi Lv
Multiple Output Regression with Latent Noise
Jussi Gillberg, Pekka Marttinen, Matti Pirinen et al.
Variational Dependent Multi-output Gaussian Process Dynamical Systems
Jing Zhao, Shiliang Sun
Quasi-Monte Carlo Feature Maps for Shift-Invariant Kernels
Haim Avron, Vikas Sindhwani, Jiyan Yang et al.
Volumetric Spanners: An Efficient Exploration Basis for Learning
Elad Hazan, Zohar Karnin
Improving Structure MCMC for Bayesian Networks through Markov Blanket Resampling
Chengwei Su, Mark E. Borsuk
Revisiting the Nyström Method for Improved Large-scale Machine Learning
Alex Gittens, Michael W. Mahoney
The LRP Toolbox for Artificial Neural Networks
Sebastian Lapuschkin, Alexander Binder, Grégoire Montavon et al.