Papers
Learning from uncertain curves: The 2-Wasserstein metric for Gaussian processes
Anton Mallasto, Aasa Feragen
Targeting EEG/LFP Synchrony with Neural Nets
Yitong Li, michael Murias, samantha Major et al.
Good Semi-supervised Learning That Requires a Bad GAN
Zihang Dai, Zhilin Yang, Fan Yang et al.
Union of Intersections (UoI) for Interpretable Data Driven Discovery and Prediction
Kristofer Bouchard, Alejandro Bujan, Fred Roosta et al.
Context Selection for Embedding Models
Liping Liu, Francisco Ruiz, Susan Athey et al.
Clone MCMC: Parallel High-Dimensional Gaussian Gibbs Sampling
Andrei-Cristian Barbos, Francois Caron, Jean-François Giovannelli et al.
Time-dependent spatially varying graphical models, with application to brain fMRI data analysis
Kristjan Greenewald, Seyoung Park, Shuheng Zhou et al.
Safe Model-based Reinforcement Learning with Stability Guarantees
Felix Berkenkamp, Matteo Turchetta, Angela Schoellig et al.
Learning with Feature Evolvable Streams
Bo-Jian Hou, Lijun Zhang, Zhi-Hua Zhou
Doubly Accelerated Stochastic Variance Reduced Dual Averaging Method for Regularized Empirical Risk Minimization
Tomoya Murata, Taiji Suzuki
Sobolev Training for Neural Networks
Wojciech M. Czarnecki, Simon Osindero, Max Jaderberg et al.
Hierarchical Attentive Recurrent Tracking
Adam Kosiorek, Alex Bewley, Ingmar Posner
VAIN: Attentional Multi-agent Predictive Modeling
Yedid Hoshen
Communication-Efficient Distributed Learning of Discrete Distributions
Ilias Diakonikolas, Elena Grigorescu, Jerry Li et al.
A Minimax Optimal Algorithm for Crowdsourcing
Thomas Bonald, Richard Combes
A Screening Rule for l1-Regularized Ising Model Estimation
Zhaobin Kuang, Sinong Geng, David Page
Predicting Scene Parsing and Motion Dynamics in the Future
Xiaojie Jin, Huaxin Xiao, Xiaohui Shen et al.
Generalizing GANs: A Turing Perspective
Roderich Gross, Yue Gu, Wei Li et al.
On Frank-Wolfe and Equilibrium Computation
Jacob D. Abernethy, Jun-Kun Wang
Solid Harmonic Wavelet Scattering: Predicting Quantum Molecular Energy from Invariant Descriptors of 3D Electronic Densities
Michael Eickenberg, Georgios Exarchakis, Matthew Hirn et al.
Linearly constrained Gaussian processes
Carl Jidling, Niklas Wahlström, Adrian Wills et al.
Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization
Ahmet Alacaoglu, Quoc Tran Dinh, Olivier Fercoq et al.
Online Influence Maximization under Independent Cascade Model with Semi-Bandit Feedback
Zheng Wen, Branislav Kveton, Michal Valko et al.
Wider and Deeper, Cheaper and Faster: Tensorized LSTMs for Sequence Learning
Zhen He, Shaobing Gao, Liang Xiao et al.
Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols
Serhii Havrylov, Ivan Titov