Brian D. Ziebart

According to our database1, Brian D. Ziebart authored at least 49 papers between 2003 and 2018.

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Bibliography

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
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.
TACL, 2015

Serendipity-empowered path planning for predictive task completion.
JAISE, 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

3rd workshop on recent advances in behavior prediction and pro-active pervasive computing.
Proceedings of the 2014 ACM Conference on 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. Information 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

Maximum causal entropy correlated equilibria for Markov games.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

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

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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