
HighDimensional Feature Selection for Sample Efficient Treatment Effect Estimation
The estimation of causal treatment effects from observational data is a ...
read it

Active Structure Learning of Causal DAGs via Directed Clique Tree
A growing body of work has begun to study intervention design for effici...
read it

The Computational Limits of Deep Learning
Deep learning's recent history has been one of achievement: from triumph...
read it

GaussianSmooth Optimal Transport: Metric Structure and Statistical Efficiency
Optimal transport (OT), and in particular the Wasserstein distance, has ...
read it

Statistical Model Aggregation via Parameter Matching
We consider the problem of aggregating models learned from sequestered, ...
read it

Personalized HeartSteps: A Reinforcement Learning Algorithm for Optimizing Physical Activity
With the recent evolution of mobile health technologies, health scientis...
read it

BreGMN: scaledBregman Generative Modeling Networks
The family of fdivergences is ubiquitously applied to generative modeli...
read it

Convergence of Smoothed Empirical Measures with Applications to Entropy Estimation
This paper studies convergence of empirical measures smoothed by a Gauss...
read it

Bayesian Nonparametric Federated Learning of Neural Networks
In federated learning problems, data is scattered across different serve...
read it

Estimating Differential Entropy under Gaussian Convolutions
This paper studies the problem of estimating the differential entropy h(...
read it

Estimating Information Flow in Neural Networks
We study the flow of information and the evolution of internal represent...
read it

Timedependent spatially varying graphical models, with application to brain fMRI data analysis
In this work, we present an additive model for spacetime data that spli...
read it

Action Centered Contextual Bandits
Contextual bandits have become popular as they offer a middle ground bet...
read it

Similarity Function Tracking using Pairwise Comparisons
Recent work in distance metric learning has focused on learning transfor...
read it

Nonstationary Distance Metric Learning
Recent work in distance metric learning has focused on learning transfor...
read it

Detection of Anomalous Crowd Behavior Using SpatioTemporal Multiresolution Model and Kronecker Sum Decompositions
In this work we consider the problem of detecting anomalous spatiotempo...
read it

Kronecker Sum Decompositions of SpaceTime Data
In this paper we consider the use of the space vs. time Kronecker produc...
read it
Kristjan Greenewald
is this you? claim profile