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Ziebart, Brian
16 publications
NeurIPS
2023
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
Yeshu Li
,
Brian Ziebart
AISTATS
2022
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks
Yeshu Li
,
Zhan Shi
,
Xinhua Zhang
,
Brian Ziebart
NeurIPS
2022
Moment Distributionally Robust Tree Structured Prediction
Yeshu Li
,
Danyal Saeed
,
Xinhua Zhang
,
Brian Ziebart
,
Kevin Gimpel
ICML
2022
Towards Uniformly Superhuman Autonomy via Subdominance Minimization
Brian Ziebart
,
Sanjiban Choudhury
,
Xinyan Yan
,
Paul Vernaza
NeurIPS
2021
Distributionally Robust Imitation Learning
Mohammad Ali Bashiri
,
Brian Ziebart
,
Xinhua Zhang
UAI
2020
Adversarial Learning for 3D Matching
Wei Xing
,
Brian Ziebart
ICML
2019
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
Sima Behpour
,
Anqi Liu
,
Brian Ziebart
NeurIPS
2018
Distributionally Robust Graphical Models
Rizal Fathony
,
Ashkan Rezaei
,
Mohammad Ali Bashiri
,
Xinhua Zhang
,
Brian Ziebart
ICML
2018
Efficient and Consistent Adversarial Bipartite Matching
Rizal Fathony
,
Sima Behpour
,
Xinhua Zhang
,
Brian Ziebart
NeurIPS
2018
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
Andrea Tirinzoni
,
Marek Petrik
,
Xiangli Chen
,
Brian Ziebart
NeurIPS
2017
Adversarial Surrogate Losses for Ordinal Regression
Rizal Fathony
,
Mohammad Ali Bashiri
,
Brian Ziebart
NeurIPS
2016
Adversarial Multiclass Classification: A Risk Minimization Perspective
Rizal Fathony
,
Anqi Liu
,
Kaiser Asif
,
Brian Ziebart
NeurIPS
2015
Adversarial Prediction Games for Multivariate Losses
Hong Wang
,
Wei Xing
,
Kaiser Asif
,
Brian Ziebart
NeurIPS
2015
Softstar: Heuristic-Guided Probabilistic Inference
Mathew Monfort
,
Brenden M Lake
,
Brenden M Lake
,
Brian Ziebart
,
Patrick Lucey
,
Josh Tenenbaum
NeurIPS
2014
Robust Classification Under Sample Selection Bias
Anqi Liu
,
Brian Ziebart
AISTATS
2009
Inverse Optimal Heuristic Control for Imitation Learning
Nathan Ratliff
,
Brian Ziebart
,
Kevin Peterson
,
J. Andrew Bagnell
,
Martial Hebert
,
Anind K. Dey
,
Siddhartha Srinivasa