Papers
Federated Multi-Task Learning
Virginia Smith, Chao-Kai Chiang, Maziar Sanjabi et al.
Predictive-State Decoders: Encoding the Future into Recurrent Networks
Arun Venkatraman, Nicholas Rhinehart, Wen Sun et al.
Generalization Properties of Learning with Random Features
Alessandro Rudi, Lorenzo Rosasco
Improved Graph Laplacian via Geometric Self-Consistency
Dominique Joncas, Marina Meila, James McQueen
SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
Zahra Ghodsi, Tianyu Gu, Siddharth Garg
Training recurrent networks to generate hypotheses about how the brain solves hard navigation problems
Ingmar Kanitscheider, Ila Fiete
Coded Distributed Computing for Inverse Problems
Yaoqing Yang, Pulkit Grover, Soummya Kar
Data-Efficient Reinforcement Learning in Continuous State-Action Gaussian-POMDPs
Rowan McAllister, Carl Edward Rasmussen
Inductive Representation Learning on Large Graphs
Will Hamilton, Zhitao Ying, Jure Leskovec
Asynchronous Parallel Coordinate Minimization for MAP Inference
Ofer Meshi, Alexander Schwing
Fast amortized inference of neural activity from calcium imaging data with variational autoencoders
Artur Speiser, Jinyao Yan, Evan W Archer et al.
Self-Normalizing Neural Networks
Günter Klambauer, Thomas Unterthiner, Andreas Mayr et al.
Cross-Spectral Factor Analysis
Neil Gallagher, Kyle R Ulrich, Austin Talbot et al.
A Sharp Error Analysis for the Fused Lasso, with Application to Approximate Changepoint Screening
Kevin Lin, James L Sharpnack, Alessandro Rinaldo et al.
Variance-based Regularization with Convex Objectives
Hongseok Namkoong, John C. Duchi
Poincaré Embeddings for Learning Hierarchical Representations
Maximillian Nickel, Douwe Kiela
One-Sided Unsupervised Domain Mapping
Sagie Benaim, Lior Wolf
Regret Analysis for Continuous Dueling Bandit
Wataru Kumagai
Decoupling "when to update" from "how to update"
Eran Malach, Shai Shalev-Shwartz
Continuous DR-submodular Maximization: Structure and Algorithms
An Bian, Kfir Levy, Andreas Krause et al.
Implicit Regularization in Matrix Factorization
Suriya Gunasekar, Blake E Woodworth, Srinadh Bhojanapalli et al.
A simple model of recognition and recall memory
Nisheeth Srivastava, Edward Vul
Variable Importance Using Decision Trees
Jalil Kazemitabar, Arash Amini, Adam Bloniarz et al.
Renyi Differential Privacy Mechanisms for Posterior Sampling
Joseph Geumlek, Shuang Song, Kamalika Chaudhuri