Brian Ziebart
21 papers · 2014–2025 · 7 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π Conference Polyglot (7) π Academic Marathon (11) π Cross-Pollinator (11)
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(50)
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Keyword Pioneer
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Conference Polyglot
(7)
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Keyword Champion
(3)
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Century Club
(21)
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Trend Setter
π₯
Unstoppable
(12)
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Keyword Collector
(96)
Conferences
NIPS (10)
ICML (3)
AISTATS (2)
COLING (2)
IJCAI (2)
AAAI (1)
UAI (1)
Top co-authors
Keywords
distributionally robust optimization
(5)
structured prediction
(4)
adversarial learning
(4)
imitation learning
(3)
fisher consistency
(3)
inverse optimal control
(3)
markov decision process
(3)
structure learning
(2)
conditional random field
(2)
health coaching
(2)
domain adaptation
(2)
maximum entropy
(2)
graphical model
(2)
risk minimization
(2)
bipartite matching
(2)
robust classification
(2)
support vector machine
(2)
hinge loss
(2)
game theory
(1)
convex optimization
(1)
Papers
Imitation Learning via Focused Satisficing
IJCAI 2025
Modeling Low-Resource Health Coaching Dialogues via Neuro-Symbolic Goal Summarization and Text-Units-Text Generation
COLING 2024
Distributionally Robust Skeleton Learning of Discrete Bayesian Networks
NIPS 2023
Distributionally Robust Structure Learning for Discrete Pairwise Markov Networks
AISTATS 2022
Moment Distributionally Robust Tree Structured Prediction
NIPS 2022
Towards Uniformly Superhuman Autonomy via Subdominance Minimization
ICML 2022
Towards Enhancing Health Coaching Dialogue in Low-Resource Settings
COLING 2022
Distributionally Robust Imitation Learning
NIPS 2021
Adversarial Learning for 3D Matching
UAI 2020
Fairness for Robust Log Loss Classification
AAAI 2020
Active Learning for Probabilistic Structured Prediction of Cuts and Matchings
ICML 2019
Distributionally Robust Graphical Models
NIPS 2018
Policy-Conditioned Uncertainty Sets for Robust Markov Decision Processes
NIPS 2018
Efficient and Consistent Adversarial Bipartite Matching
ICML 2018
Adversarial Surrogate Losses for Ordinal Regression
NIPS 2017
Adversarial Multiclass Classification: A Risk Minimization Perspective
NIPS 2016
Graph-Based Inverse Optimal Control for Robot Manipulation
IJCAI 2015
Adversarial Prediction Games for Multivariate Losses
NIPS 2015
Softstar: Heuristic-Guided Probabilistic Inference
NIPS 2015
Predictive Inverse Optimal Control for Linear-Quadratic-Gaussian Systems
AISTATS 2015
Robust Classification Under Sample Selection Bias
NIPS 2014