Papers
Efficient Adjustment Sets for Population Average Causal Treatment Effect Estimation in Graphical Models
Andrea Rotnitzky, Ezequiel Smucler
Efficient Inference for Nonparametric Hawkes Processes Using Auxiliary Latent Variables
Feng Zhou, Zhidong Li, Xuhui Fan et al.
Empirical Priors for Prediction in Sparse High-dimensional Linear Regression
Ryan Martin, Yiqi Tang
Empirical Risk Minimization in the Non-interactive Local Model of Differential Privacy
Di Wang, Marco Gaboardi, Adam Smith et al.
Ensemble Learning for Relational Data
Hoda Eldardiry, Jennifer Neville, Ryan A. Rossi
Estimate Sequences for Stochastic Composite Optimization: Variance Reduction, Acceleration, and Robustness to Noise
Andrei Kulunchakov, Julien Mairal
Estimation of a Low-rank Topic-Based Model for Information Cascades
Ming Yu, Varun Gupta, Mladen Kolar
Exact Guarantees on the Absence of Spurious Local Minima for Non-negative Rank-1 Robust Principal Component Analysis
Salar Fattahi, Somayeh Sojoudi
Expectation Propagation as a Way of Life: A Framework for Bayesian Inference on Partitioned Data
Aki Vehtari, Andrew Gelman, Tuomas Sivula et al.
Expected Policy Gradients for Reinforcement Learning
Kamil Ciosek, Shimon Whiteson
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel, Noam Shazeer, Adam Roberts et al.
Fair Data Adaptation with Quantile Preservation
Drago Plečko, Nicolai Meinshausen
Fast Bayesian Inference of Sparse Networks with Automatic Sparsity Determination
Hang Yu, Songwei Wu, Luyin Xin et al.
Fast Exact Matrix Completion: A Unified Optimization Framework for Matrix Completion
Dimitris Bertsimas, Michael Lingzhi Li
Fast mixing of Metropolized Hamiltonian Monte Carlo: Benefits of multi-step gradients
Yuansi Chen, Raaz Dwivedi, Martin J. Wainwright et al.
Fast Rates for General Unbounded Loss Functions: From ERM to Generalized Bayes
Peter D. Grünwald, Nishant A. Mehta
Functional Martingale Residual Process for High-Dimensional Cox Regression with Model Averaging
Baihua He, Yanyan Liu, Yuanshan Wu et al.
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning
Anis Elgabli, Jihong Park, Amrit S. Bedi et al.
Generalized Nonbacktracking Bounds on the Influence
Emmanuel Abbe, Sanjeev Kulkarni, Eun Jee Lee
Generalized probabilistic principal component analysis of correlated data
Mengyang Gu, Weining Shen
General Latent Feature Models for Heterogeneous Datasets
Isabel Valera, Melanie F. Pradier, Maria Lomeli et al.
Generating Weighted MAX-2-SAT Instances with Frustrated Loops: an RBM Case Study
Yan Ru Pei, Haik Manukian, Massimiliano Di Ventra
Generative Adversarial Nets for Robust Scatter Estimation: A Proper Scoring Rule Perspective
Chao Gao, Yuan Yao, Weizhi Zhu
Geomstats: A Python Package for Riemannian Geometry in Machine Learning
Nina Miolane, Nicolas Guigui, Alice Le Brigant et al.