Scholar

Brian D Ziebart

Google Scholar ID: _JjIgGcAAAAJ

Professor of Computer Science, University of Illinois at Chicago

Machine learningartificial intelligenceimitation learninginverse reinforcement learning

Citations & Impact

All-time

Citations

6,367

H-index

i10-index

Publications

Co-authors

list available

Contact

Publications

20 items

Browse publications on Google Scholar (top-right) ↗

Resume (English only)

Academic Achievements

Recipient of NSF CAREER Award (RI-1652530): Adversarial Machine Learning for Structured Prediction
Principal investigator or co-investigator on multiple NSF-funded projects, including:
- NSF EAGER (SCH)-1650900: The Virtual Assistant Health Coach (with Barbara Di Eugenio et al.)
- NSF IIS-1526379: Robust Optimization of Loss Functions with Application to Active Learning (with Lev Reyzin)
- NSF III-1514126: Computational tools for extracting individual, dyadic, and network behavior from remotely sensed data (with Tanya Berger-Wolf et al.)
- NSF NRI-1227495: Purposeful Prediction: Co-robot Interaction via Understanding Intent and Goals (sub-contract, with Drew Bagnell et al.)
- Future of Life Institute grant: Towards Safer Inductive Learning
Selected publications include:
- 'ARC: Adversarial Robust Cuts for Semi-Supervised and Multi-Label Classification' (AAAI 2018)
- 'ADA: A Game-Theoretic Perspective on Data Augmentation for Object Detection' (arXiv 2017)
- 'Adversarial Structured Prediction for Multivariate Measures' (arXiv 2017)
- 'Adversarial Surrogate Losses for Ordinal Regression' (NeurIPS 2017)
- 'Goal-Predictive Robotic Teleoperation from Noisy Sensors' (ICRA 2017)

Co-authors

65 total