Brian D Ziebart
机构: Associate Professor of Computer Science, University of Illinois at Chicago
主页: uic.edu
每年引用次数
引用次数
引用: 8,819
H-指数: 32
I10-指数 : 54
出版物: 105
Learning Automation Policies for Pervasive Computing Environments
B.D. Ziebart , D. Roth , R.H. Campbell , A.K. Dey
Second International Conference on Autonomic Computing (ICAC'05) 193 -203
30
2005
Modeling purposeful adaptive behavior with the principle of maximum causal entropy
Brian D. Ziebart , J. Andrew Bagnell
Carnegie Mellon University
456
2010
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems
Brian D. Ziebart , Xiangli Chen
international conference on artificial intelligence and statistics 165 -173
5
2015
Maximum entropy inverse reinforcement learning
Brian D. Ziebart , J. Andrew Bagnell , Anind K. Dey , Andrew Maas
national conference on artificial intelligence 1433 -1438
2,708
2008
Modeling Interaction via the Principle of Maximum Causal Entropy
Brian D. Ziebart , J. A. Bagnell , Anind K. Dey
international conference on machine learning 1255 -1262
264
2010
Maximum causal entropy correlated equilibria for Markov games
Brian D. Ziebart , J. Andrew Bagnell , Anind K. Dey
adaptive agents and multi-agents systems 207 -214
16
2011
Adversarial prediction games for multivariate losses
Brian D. Ziebart , Kaiser Asif , Wei Xing , Hong Wang
neural information processing systems 28 2728 -2736
20
2015
Softstar: heuristic-guided probabilistic inference
Brian D. Ziebart , Patrick Lucey , Brenden M. Lake , Joshua B. Tenenbaum
neural information processing systems 28 2764 -2772
5
2015
Adversarial cost-sensitive classification
Brian D. Ziebart , Kaiser Asif , Wei Xing , Sima Behpour
uncertainty in artificial intelligence 92 -101
15
2015
Intent prediction and trajectory forecasting via predictive inverse linear-quadratic regulation
Brian D. Ziebart , Anqi Liu , Mathew Monfort
national conference on artificial intelligence 3672 -3678
30
2015
Shift-pessimistic active learning using robust bias-aware prediction
Brian D. Ziebart , Anqi Liu , Lev Reyzin
national conference on artificial intelligence 2764 -2770
13
2015
Robust Covariate Shift Regression
Brian D. Ziebart , Anqi Liu , Mathew Monfort , Xiangli Chen
international conference on artificial intelligence and statistics 1270 -1279
29
2016
Adversarial Multiclass Classification: A Risk Minimization Perspective
Brian D. Ziebart , Anqi Liu , Kaiser Asif , Rizal Fathony
neural information processing systems 29 559 -567
7
2016
A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks
Brian D. Ziebart , Sima Behpour
national conference on artificial intelligence 6 -7
2015
Adversarial inverse optimal control for general imitation learning losses and embodiment transfer
Brian D. Ziebart , Peter Carr , Mathew Monfort , Xiangli Chen
uncertainty in artificial intelligence 102 -111
7
2016
Adversarial Surrogate Losses for Ordinal Regression
Brian D. Ziebart , Rizal Fathony , Mohammad Ali Bashiri
neural information processing systems 30 563 -573
14
2017
Adversarially Optimizing Intersection over Union for Object Localization Tasks
Brian D. Ziebart , Kris M. Kitani , Sima Behpour
2
2017
ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification.
Brian D. Ziebart , Wei Xing , Sima Behpour
national conference on artificial intelligence 2704 -2711
3
2018
Efficient and Consistent Adversarial Bipartite Matching
Brian D. Ziebart , Xinhua Zhang , Sima Behpour , Rizal Fathony
international conference on machine learning 1456 -1465
9
2018
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
Brian D. Ziebart , Marek Petrik , Xiangli Chen , Andrea Tirinzoni
neural information processing systems 31 8939 -8949
20
2018