Papers
Hierarchical Clustering for Euclidean Data
Moses Charikar, Vaggos Chatziafratis, Rad Niazadeh et al.
Variance reduction properties of the reparameterization trick
Ming Xu, Matias Quiroz, Robert Kohn et al.
Adaptive MCMC via Combining Local Samplers
Kiárash Shaloudegi, András György
Multi-Observation Regression
Rafael Frongillo, Nishant A. Mehta, Tom Morgan et al.
Interpolating between Optimal Transport and MMD using Sinkhorn Divergences
Jean Feydy, Thibault Séjourné, François-Xavier Vialard et al.
Correspondence Analysis Using Neural Networks
Hsiang Hsu, Salman Salamatian, Flavio P. Calmon
Efficient Bayesian Optimization for Target Vector Estimation
Anders Kirk Uhrenholt, Bjøern Sand Jensen
Credit Assignment Techniques in Stochastic Computation Graphs
Théophane Weber, Nicolas Heess, Lars Buesing et al.
Parallel Asynchronous Stochastic Coordinate Descent with Auxiliary Variables
Hsiang-Fu Yu, Cho-Jui Hsieh, Inderjit S. Dhillon
Bayesian Learning of Conditional Kernel Mean Embeddings for Automatic Likelihood-Free Inference
Kelvin Hsu, Fabio Ramos
A Higher-Order Kolmogorov-Smirnov Test
Veeranjaneyulu Sadhanala, Yu-Xiang Wang, Aaditya Ramdas et al.
Scalable High-Order Gaussian Process Regression
Shandian Zhe, Wei Xing, Robert M. Kirby
Doubly Semi-Implicit Variational Inference
Dmitry Molchanov, Valery Kharitonov, Artem Sobolev et al.
Overcomplete Independent Component Analysis via SDP
Anastasia Podosinnikova, Amelia Perry, Alexander S. Wein et al.
A Topological Regularizer for Classifiers via Persistent Homology
Chao Chen, Xiuyan Ni, Qinxun Bai et al.
Rotting bandits are no harder than stochastic ones
Julien Seznec, Andrea Locatelli, Alexandra Carpentier et al.
Estimation of Non-Normalized Mixture Models
Takeru Matsuda, Aapo Hyvärinen
Locally Private Mean Estimation: Z-test and Tight Confidence Intervals
Marco Gaboardi, Ryan Rogers, Or Sheffet
Estimating Network Structure from Incomplete Event Data
Benjamin Mark, Garvesh Raskutti, Rebecca Willett
Structured Disentangled Representations
Babak Esmaeili, Hao Wu, Sarthak Jain et al.
Uncertainty Autoencoders: Learning Compressed Representations via Variational Information Maximization
Aditya Grover, Stefano Ermon
An Online Algorithm for Smoothed Regression and LQR Control
Gautam Goel, Adam Wierman
An Optimal Control Approach to Sequential Machine Teaching
Laurent Lessard, Xuezhou Zhang, Xiaojin Zhu
Efficient Nonconvex Empirical Risk Minimization via Adaptive Sample Size Methods
Aryan Mokhtari, Asuman Ozdaglar, Ali Jadbabaie