Brian D. Ziebart

Orcid: 0000-0003-4041-6871

Affiliations:
  • University of Illinois at Chicago, Department of Computer Science


According to our database1, Brian D. Ziebart authored at least 80 papers between 2003 and 2023.

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Bibliography

2023
Fairness for Robust Learning to Rank.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Distributionally Robust Skeleton Learning of Discrete Bayesian Networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023


Superhuman Fairness.
Proceedings of the International Conference on Machine Learning, 2023

2022
Machine learning model to predict welding quality using air-coupled acoustic emission and weld inputs.
J. Intell. Manuf., 2022

Risk-averse policy optimization via risk-neutral policy optimization.
Artif. Intell., 2022

Moment Distributionally Robust Tree Structured Prediction.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Uniformly Superhuman Autonomy via Subdominance Minimization.
Proceedings of the International Conference on Machine Learning, 2022

Towards Enhancing Health Coaching Dialogue in Low-Resource Settings.
Proceedings of the 29th International Conference on Computational Linguistics, 2022

Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021
Feedback in Imitation Learning: The Three Regimes of Covariate Shift.
CoRR, 2021

Summarizing Behavioral Change Goals from SMS Exchanges to Support Health Coaches.
Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2021

Distributionally Robust Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Robust Fairness Under Covariate Shift.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Adversarial Learning for 3D Matching.
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020

Human-Human Health Coaching via Text Messages: Corpus, Annotation, and Analysis.
Proceedings of the 21th Annual Meeting of the Special Interest Group on Discourse and Dialogue, 2020

Recurrent Neural Networks for Hierarchically Mapping Human-Robot Poses.
Proceedings of the Fourth IEEE International Conference on Robotic Computing, 2020

Goal Summarization for Human-Human Health Coaching Dialogues.
Proceedings of the Thirty-Third International Florida Artificial Intelligence Research Society Conference, 2020

Fairness for Robust Log Loss Classification.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Fair Logistic Regression: An Adversarial Perspective.
CoRR, 2019

ADA: Adversarial Data Augmentation for Object Detection.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2019

Hybrid Algorithm for Inverse Kinematics Using Deep Learning and Coordinate Transformation.
Proceedings of the 3rd IEEE International Conference on Robotic Computing, 2019

Active Learning for Probabilistic Structured Prediction of Cuts and Matchings.
Proceedings of the 36th International Conference on Machine Learning, 2019

Deep Correspondence Learning for Effective Robotic Teleoperation using Virtual Reality.
Proceedings of the 19th IEEE-RAS International Conference on Humanoid Robots, 2019

Modeling Health Coaching Dialogues for Behavioral Goal Extraction.
Proceedings of the 2019 IEEE International Conference on Bioinformatics and Biomedicine, 2019

Discriminatively Learning Inverse Optimal Control Models for Predicting Human Intentions.
Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018
Consistent Robust Adversarial Prediction for General Multiclass Classification.
CoRR, 2018

A Game-Theoretic Adversarial Approach to Dynamic Network Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Distributionally Robust Graphical Models.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Efficient and Consistent Adversarial Bipartite Matching.
Proceedings of the 35th International Conference on Machine Learning, 2018

Towards Building a Virtual Assistant Health Coach.
Proceedings of the IEEE International Conference on Healthcare Informatics, 2018

ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Kernel Robust Bias-Aware Prediction under Covariate Shift.
CoRR, 2017

Robust Covariate Shift Prediction with General Losses and Feature Views.
CoRR, 2017

Adversarial Structured Prediction for Multivariate Measures.
CoRR, 2017

Adversarially Optimizing Intersection over Union for Object Localization Tasks.
CoRR, 2017

Adversarial Surrogate Losses for Ordinal Regression.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Goal-predictive robotic teleoperation from noisy sensors.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Adversarial Inverse Optimal Control for General Imitation Learning Losses and Embodiment Transfer.
Proceedings of the Thirty-Second Conference on Uncertainty in Artificial Intelligence, 2016

Adversarial Multiclass Classification: A Risk Minimization Perspective.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Adversarial Sequence Tagging.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Robust Covariate Shift Regression.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016

2015
A Sense-Topic Model for Word Sense Induction with Unsupervised Data Enrichment.
Trans. Assoc. Comput. Linguistics, 2015

Serendipity-empowered path planning for predictive task completion.
J. Ambient Intell. Smart Environ., 2015

Adversarial Cost-Sensitive Classification.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015

Adversarial Prediction Games for Multivariate Losses.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Softstar: Heuristic-Guided Probabilistic Inference.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

Graph-Based Inverse Optimal Control for Robot Manipulation.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Context Retrieval for Web Tables.
Proceedings of the 2015 International Conference on The Theory of Information Retrieval, 2015

Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems.
Proceedings of the Eighteenth International Conference on Artificial Intelligence and Statistics, 2015

Intent Prediction and Trajectory Forecasting via Predictive Inverse Linear-Quadratic Regulation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Shift-Pessimistic Active Learning Using Robust Bias-Aware Prediction.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

A Minimax Robust Approach for Learning to Assist Users with Pointing Tasks.
Proceedings of the Artificial Intelligence Applied to Assistive Technologies and Smart Environments, 2015

2014
Robust Classification Under Sample Selection Bias.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

3<sup>rd</sup> workshop on recent advances in behavior prediction and pro-active pervasive computing.
Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Leveraging Machine Learning to Improve Unwanted Resource Filtering.
Proceedings of the 2014 Workshop on Artificial Intelligent and Security Workshop, 2014

2013
The Principle of Maximum Causal Entropy for Estimating Interacting Processes.
IEEE Trans. Inf. Theory, 2013

TherML: occupancy prediction for thermostat control.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

2nd workshop on recent advances in behavior prediction and pro-active pervasive computing.
Proceedings of the 2013 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2013

Robust structure estimation of maximum causal entropy processes.
Proceedings of the 51st Annual Allerton Conference on Communication, 2013

2012
Probabilistic pointing target prediction via inverse optimal control.
Proceedings of the 17th International Conference on Intelligent User Interfaces, 2012

Identifying Culture and Leveraging Cultural Differences for Negotiation Agents.
Proceedings of the 45th Hawaii International International Conference on Systems Science (HICSS-45 2012), 2012

Activity Forecasting.
Proceedings of the Computer Vision - ECCV 2012, 2012

2011
Computational Rationalization: The Inverse Equilibrium Problem.
Proceedings of the 28th International Conference on Machine Learning, 2011

Learning patterns of pick-ups and drop-offs to support busy family coordination.
Proceedings of the International Conference on Human Factors in Computing Systems, 2011

Factorized decision forecasting via combining value-based and reward-based estimation.
Proceedings of the 49th Annual Allerton Conference on Communication, 2011

2010
Modeling Purposeful Adaptive Behavior with the Principle of Maximum Causal Entropy.
PhD thesis, 2010

Modeling Interaction via the Principle of Maximum Causal Entropy.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Maximum Causal Entropy Correlated Equilibria for Markov Games.
Proceedings of the Interactive Decision Theory and Game Theory, 2010

2009
Inverse Optimal Heuristic Control for Imitation Learning.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Planning-based prediction for pedestrians.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Human Behavior Modeling with Maximum Entropy Inverse Optimal Control.
Proceedings of the Human Behavior Modeling, 2009

2008
Navigate like a cabbie: probabilistic reasoning from observed context-aware behavior.
Proceedings of the UbiComp 2008: Ubiquitous Computing, 10th International Conference, 2008

Fast Planning for Dynamic Preferences.
Proceedings of the Eighteenth International Conference on Automated Planning and Scheduling, 2008

Maximum Entropy Inverse Reinforcement Learning.
Proceedings of the Twenty-Third AAAI Conference on Artificial Intelligence, 2008

2007
Learning Selectively Conditioned Forest Structures with Applications to DBNs and Classification.
Proceedings of the UAI 2007, 2007

2005
Towards a Pervasive Computing Benchmark.
Proceedings of the 3rd IEEE Conference on Pervasive Computing and Communications Workshops (PerCom 2005 Workshops), 2005

Automated and Adaptive Threshold Setting: Enabling Technology for Autonomy and Self-Management.
Proceedings of the Second International Conference on Autonomic Computing (ICAC 2005), 2005

2003
Dynamic Application Composition: Customizing the Behavior of an Active Space.
Proceedings of the First IEEE International Conference on Pervasive Computing and Communications (PerCom'03), 2003


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