Papers
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
Yinlam Chow, Mohammad Ghavamzadeh, Lucas Janson et al.
Gradient Hard Thresholding Pursuit
Xiao-Tong Yuan, Ping Li, Tong Zhang
Maximum Principle Based Algorithms for Deep Learning
Qianxiao Li, Long Chen, Cheng Tai et al.
pomegranate: Fast and Flexible Probabilistic Modeling in Python
Jacob Schreiber
Deep Learning the Ising Model Near Criticality
Alan Morningstar, Roger G. Melko
Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model
Clint P. George, Hani Doss
Gradient Estimation with Simultaneous Perturbation and Compressive Sensing
Vivek S. Borkar, Vikranth R. Dwaracherla, Neeraja Sahasrabudhe
Training Gaussian Mixture Models at Scale via Coresets
Mario Lucic, Matthew Faulkner, Andreas Krause et al.
Robust Topological Inference: Distance To a Measure and Kernel Distance
Frédéric Chazal, Brittany Fasy, Fabrizio Lecci et al.
Probabilistic preference learning with the Mallows rank model
Valeria Vitelli, Øystein Sørensen, Marta Crispino et al.
A Study of the Classification of Low-Dimensional Data with Supervised Manifold Learning
Elif Vural, Christine Guillemot
Provably Correct Algorithms for Matrix Column Subset Selection with Selectively Sampled Data
Yining Wang, Aarti Singh
Cost-Sensitive Learning with Noisy Labels
Nagarajan Natarajan, Inderjit S. Dhillon, Pradeep Ravikumar et al.
Normal Bandits of Unknown Means and Variances
Wesley Cowan, Junya Honda, Michael N. Katehakis
Automatic Differentiation in Machine Learning: a Survey
Atilim Gunes Baydin, Barak A. Pearlmutter, Alexey Andreyevich Radul et al.
HyperTools: a Python Toolbox for Gaining Geometric Insights into High-Dimensional Data
Andrew C. Heusser, Kirsten Ziman, Lucy L. W. Owen et al.
Variational Fourier Features for Gaussian Processes
James Hensman, Nicolas Durrande, Arno Solin
On Binary Embedding using Circulant Matrices
Felix X. Yu, Aditya Bhaskara, Sanjiv Kumar et al.
Influences of Fundamental Oscillation on Speaker Identification in Vocalic Utterances by Humans and Computers
Volker Dellwo, Thayabaran Kathiresan, Elisa Pellegrino et al.
Experience-dependent Influence of Music and Language on Lexical Pitch Learning Is Not Additive
Akshay Raj Maggu, Patrick C. M. Wong, Hanjun Liu et al.
COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning
Marie-Lou Barnaud, Juien Diard, Pierre Bessière et al.
Visual Timing Information in Audiovisual Speech Perception: Evidence from Lexical Tone Contour
Hui Xie, Biao Zeng, Rui Wang
Implementing DIANA to Model Isolated Auditory Word Recognition in English
Filip Nenadić, Louis ten Bosch, Benjamin V. Tucker
Weighting Pitch Contour and Loudness Contour in Mandarin Tone Perception in Cochlear Implant Listeners
Qinglin Meng, Nengheng Zheng, Ambika Prasad Mishra et al.