Statistical Learning
Causal Inference with Noisy and Missing Covariates via Matrix Factorization
Nathan Kallus, Xiaojie Mao, Madeleine Udell
V alid causal inference in observational studies often requires controlling for con-founders.
Adversarial Multiple Source Domain Adaptation
Han Zhao, Shanghang Zhang, Guanhang Wu, Josรฉ M. F. Moura, Joao P. Costeira, Geoffrey J. Gordon
To this end, we propose multisource domain adversarial networks (MDAN) that approach domain adaptation by optimizing task-adaptive generalization bounds.
Mirrored Langevin Dynamics
Ya-Ping Hsieh, Ali Kavis, Paul Rolland, Volkan Cevher
Furthermore, many important constrained distributions are inherently non-log-concave.
An Improved Analysis of Alternating Minimization for Structured Multi-Response Regression
Due to the non-convex nature of such joint estimators, the theoretical justification of their efficiency is typically challenging.
Reducing Network Agnostophobia
Akshay Raj Dhamija, Manuel Gรผnther, Terrance Boult
Neural Information Processing Systems http://nips.cc/
DropMax: Adaptive Variational Softmax
Hae Beom Lee, Juho Lee, Saehoon Kim, Eunho Yang, Sung Ju Hwang
We propose DropMax, a stochastic version of softmax classifier which at each iteration drops non-target classes according to dropout probabilities adaptively decided for each instance.
A Likelihood-Free Inference Framework for Population Genetic Data using Exchangeable Neural Networks
Jeffrey Chan, Valerio Perrone, Jeffrey Spence, Paul Jenkins, Sara Mathieson, Yun Song
An explosion of high-throughput DNA sequencing in the past decade has led to a surge of interest in population-scale inference with whole-genome data.
Empirical Risk Minimization in Non-interactive Local Differential Privacy Revisited
Di Wang, Marco Gaboardi, Jinhui Xu
In this paper, we revisit the Empirical Risk Minimization problem in the non-interactive local model of differential privacy.
Data-Driven Clustering via Parameterized Lloyd's Families
Maria-Florina F. Balcan, Travis Dick, Colin White
Neural Information Processing Systems http://nips.cc/