Papers
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
Discriminative State Space Models
Vitaly Kuznetsov, Mehryar Mohri
Modulating early visual processing by language
Harm de Vries, Florian Strub, Jeremie Mary et al.
Learning the Morphology of Brain Signals Using Alpha-Stable Convolutional Sparse Coding
Mainak Jas, Tom Dupré la Tour, Umut Simsekli et al.
Hierarchical Implicit Models and Likelihood-Free Variational Inference
Dustin Tran, Rajesh Ranganath, David Blei
Accelerated First-order Methods for Geodesically Convex Optimization on Riemannian Manifolds
Yuanyuan Liu, Fanhua Shang, James Cheng et al.
Efficient Sublinear-Regret Algorithms for Online Sparse Linear Regression with Limited Observation
Shinji Ito, Daisuke Hatano, Hanna Sumita et al.
Label Distribution Learning Forests
Wei Shen, KAI ZHAO, Yilu Guo et al.
Sparse Approximate Conic Hulls
Greg Van Buskirk, Benjamin Raichel, Nicholas Ruozzi
Max-Margin Invariant Features from Transformed Unlabelled Data
Dipan Pal, Ashwin Kannan, Gautam Arakalgud et al.
MaskRNN: Instance Level Video Object Segmentation
Yuan-Ting Hu, Jia-Bin Huang, Alexander Schwing
Learning with Average Top-k Loss
Yanbo Fan, Siwei Lyu, Yiming Ying et al.
Deanonymization in the Bitcoin P2P Network
Giulia Fanti, Pramod Viswanath
Learning Hierarchical Information Flow with Recurrent Neural Modules
Danijar Hafner, Alexander Irpan, James Davidson et al.
QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding
Dan Alistarh, Demjan Grubic, Jerry Li et al.
Masked Autoregressive Flow for Density Estimation
George Papamakarios, Theo Pavlakou, Iain Murray