Papers
Principles of Riemannian Geometry in Neural Networks
Michael Hauser, Asok Ray
When Cyclic Coordinate Descent Outperforms Randomized Coordinate Descent
Mert Gurbuzbalaban, Asuman Ozdaglar, Pablo A Parrilo et al.
Differentiable Learning of Logical Rules for Knowledge Base Reasoning
Fan Yang, Zhilin Yang, William W. Cohen
Approximate Supermodularity Bounds for Experimental Design
Luiz Chamon, Alejandro Ribeiro
Learning Spherical Convolution for Fast Features from 360° Imagery
Yu-Chuan Su, Kristen Grauman
Real-Time Bidding with Side Information
arthur flajolet, Patrick Jaillet
Distral: Robust multitask reinforcement learning
Yee Teh, Victor Bapst, Wojciech M. Czarnecki et al.
Recurrent Ladder Networks
Isabeau Prémont-Schwarz, Alexander Ilin, Tele Hao et al.
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu, Yu Zhang, James Glass
Adaptive SVRG Methods under Error Bound Conditions with Unknown Growth Parameter
Yi Xu, Qihang Lin, Tianbao Yang
State Aware Imitation Learning
Yannick Schroecker, Charles L Isbell
Online multiclass boosting
Young Hun Jung, Jack Goetz, Ambuj Tewari
PASS-GLM: polynomial approximate sufficient statistics for scalable Bayesian GLM inference
Jonathan Huggins, Ryan P. Adams, Tamara Broderick
Best of Both Worlds: Transferring Knowledge from Discriminative Learning to a Generative Visual Dialog Model
Jiasen Lu, Anitha Kannan, Jianwei Yang et al.
Deep Hyperalignment
Muhammad Yousefnezhad, Daoqiang Zhang
A Bayesian Data Augmentation Approach for Learning Deep Models
Toan Tran, Trung Pham, Gustavo Carneiro et al.
A New Theory for Matrix Completion
Guangcan Liu, Qingshan Liu, Xiaotong Yuan
Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization
Fabian Pedregosa, Rémi Leblond, Simon Lacoste-Julien
Kernel functions based on triplet comparisons
Matthäus Kleindessner, Ulrike von Luxburg
Minimax Estimation of Bandable Precision Matrices
Addison Hu, Sahand Negahban
Fisher GAN
Youssef Mroueh, Tom Sercu
Generalized Linear Model Regression under Distance-to-set Penalties
Jason Xu, Eric Chi, Kenneth Lange
FALKON: An Optimal Large Scale Kernel Method
Alessandro Rudi, Luigi Carratino, Lorenzo Rosasco
High-Order Attention Models for Visual Question Answering
Idan Schwartz, Alexander Schwing, Tamir Hazan
Robust Imitation of Diverse Behaviors
Ziyu Wang, Josh S Merel, Scott E Reed et al.