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05/18/2023
Massively Scalable Inverse Reinforcement Learning in Google Maps
Optimizing for humans' latent preferences is a grand challenge in route ...
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02/04/2022
Smartphone-based Hard-braking Event Detection at Scale for Road Safety Services
Road crashes are the sixth leading cause of lost disability-adjusted lif...
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07/06/2020
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks
In this work, we examine a novel forecasting approach for COVID-19 case ...
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12/03/2019
Mo' States Mo' Problems: Emergency Stop Mechanisms from Observation
In many environments, only a relatively small subset of the complete sta...
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08/19/2019
Adaptive Robot-Assisted Feeding: An Online Learning Framework for Acquiring Previously-Unseen Food Items
Successful robot-assisted feeding requires bite acquisition of a wide va...
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08/19/2019
Learning from failures in robot-assisted feeding: Using online learning to develop manipulation strategies for bite acquisition
Successful robot-assisted feeding requires bite acquisition of a wide va...
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05/30/2019
Imitation Learning as f-Divergence Minimization
We address the problem of imitation learning with multi-modal demonstrat...
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07/18/2018
Dependency Leakage: Analysis and Scalable Estimators
In this paper, we prove the first theoretical results on dependency leak...
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03/08/2017
Performance Bounds for Graphical Record Linkage
Record linkage involves merging records in large, noisy databases to rem...
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05/05/2016
Clustering on the Edge: Learning Structure in Graphs
With the recent popularity of graphical clustering methods, there has be...
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09/14/2015
A Practioner's Guide to Evaluating Entity Resolution Results
Entity resolution (ER) is the task of identifying records belonging to t...
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09/10/2015