Papers
A General Framework for Robust Interactive Learning
Ehsan Emamjomeh-Zadeh, David Kempe
Attention is All you Need
Ashish Vaswani, Noam Shazeer, Niki Parmar et al.
Robust Conditional Probabilities
Yoav Wald, Amir Globerson
Higher-Order Total Variation Classes on Grids: Minimax Theory and Trend Filtering Methods
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, James L Sharpnack et al.
Mixture-Rank Matrix Approximation for Collaborative Filtering
Dongsheng Li, Chao Chen, Wei Liu et al.
Practical Locally Private Heavy Hitters
Raef Bassily, Kobbi Nissim, Uri Stemmer et al.
The Scaling Limit of High-Dimensional Online Independent Component Analysis
Chuang Wang, Yue Lu
Neural Program Meta-Induction
Jacob Devlin, Rudy R Bunel, Rishabh Singh et al.
Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach
Slobodan Mitrovic, Ilija Bogunovic, Ashkan Norouzi-Fard et al.
Online Prediction with Selfish Experts
Tim Roughgarden, Okke Schrijvers
Learning Koopman Invariant Subspaces for Dynamic Mode Decomposition
Naoya Takeishi, Yoshinobu Kawahara, Takehisa Yairi
#Exploration: A Study of Count-Based Exploration for Deep Reinforcement Learning
Haoran Tang, Rein Houthooft, Davis Foote et al.
Adaptive Clustering through Semidefinite Programming
Martin Royer
Riemannian approach to batch normalization
Minhyung Cho, Jaehyung Lee
A Greedy Approach for Budgeted Maximum Inner Product Search
Hsiang-Fu Yu, Cho-Jui Hsieh, Qi Lei et al.
Learning with Bandit Feedback in Potential Games
Amélie Heliou, Johanne Cohen, Panayotis Mertikopoulos
Shallow Updates for Deep Reinforcement Learning
Nir Levine, Tom Zahavy, Daniel J Mankowitz et al.
Variational Memory Addressing in Generative Models
Jörg Bornschein, Andriy Mnih, Daniel Zoran et al.
Invariance and Stability of Deep Convolutional Representations
Alberto Bietti, Julien Mairal
On Structured Prediction Theory with Calibrated Convex Surrogate Losses
Anton Osokin, Francis Bach, Simon Lacoste-Julien
Deep Mean-Shift Priors for Image Restoration
Siavash Arjomand Bigdeli, Matthias Zwicker, Paolo Favaro et al.
Effective Parallelisation for Machine Learning
Michael Kamp, Mario Boley, Olana Missura et al.
Independence clustering (without a matrix)
Daniil Ryabko
Online Reinforcement Learning in Stochastic Games
Chen-Yu Wei, Yi-Te Hong, Chi-Jen Lu
Solving Most Systems of Random Quadratic Equations
Gang Wang, Georgios Giannakis, Yousef Saad et al.