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Career

· Sr. Engineering Manager, Uber Advanced Technologies Group2015–2018
· Associate Research Professor, Carnegie Mellon University2004–2013
· Chief Informatics Officer, Psychogenics, Inc.2004–2006
· Research Scientist, Carnegie Mellon University1998–2004
· Post-Doc, Carnegie Mellon University1995–1998
· Co-founder, CEO, Schenley Park Research, Inc.1995–2004
· PhD in Computer Science, University of Rochester1994–
· Research Assistant, University of Rochester1991–1994
· M.S., Computer Science, Michigan State University1990–
· Research Assistant, General Motors Research Labs1989–1989
· B.S., Computer Science, Michigan State University1988–
· Research Assistant, Texas Instruments AI Lab1987–1987

Publications (246)

Temporal Collaborative Filtering with Bayesian Probabilistic Tensor Factorization
SDM · 2010
722
cited
Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks
IEEE International Conference on Robotics and Automation · 2018
696
cited
Neural Architecture Search with Bayesian Optimisation and Optimal Transport
Neural Information Processing Systems · 2018
646
cited
High Dimensional Bayesian Optimisation and Bandits via Additive Models
International Conference on Machine Learning · 2015
397
cited
A statistical approach to 3d object detection applied to faces and cars
2000
294
cited
Equivariance Through Parameter-Sharing
International Conference on Machine Learning · 2017
279
cited
Efficiently learning the accuracy of labeling sources for selective sampling
Knowledge Discovery and Data Mining · 2009
267
cited
Parallelised Bayesian Optimisation via Thompson Sampling
International Conference on Artificial Intelligence and Statistics · 2018
267
cited
Multi-fidelity Bayesian Optimisation with Continuous Approximations
International Conference on Machine Learning · 2017
243
cited
Uncertainty-aware Short-term Motion Prediction of Traffic Actors for Autonomous Driving
IEEE Workshop/Winter Conference on Applications of Computer Vision · 2018
224
cited
Approximate solutions for partially observable stochastic games with common payoffs
Proceedings of the Third International Joint Conference on Autonomous Agents and Multiagent Systems, 2004. AAMAS 2004. · 2004
222
cited
Detecting anomalous records in categorical datasets
Knowledge Discovery and Data Mining · 2007
209
cited
On the Error of Random Fourier Features
Conference on Uncertainty in Artificial Intelligence · 2015
208
cited
Distributed Value Functions
International Conference on Machine Learning · 1999
200
cited
Policy Search by Dynamic Programming
Neural Information Processing Systems · 2003
198
cited
Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly
Journal of machine learning research · 2019
190
cited
Gaussian Process Bandit Optimisation with Multi-fidelity Evaluations
Neural Information Processing Systems · 2016
156
cited
ChemBO: Bayesian Optimization of Small Organic Molecules with Synthesizable Recommendations
International Conference on Artificial Intelligence and Statistics · 2019
140
cited
Multi-Label Output Codes using Canonical Correlation Analysis
International Conference on Artificial Intelligence and Statistics · 2011
134
cited
Learning Multiple Tasks with a Sparse Matrix-Normal Penalty
Neural Information Processing Systems · 2010
131
cited
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