Artificial Intelligence (Natural Language Processing, Machine Learning, Vision)

Research in artificial intelligence (AI), which includes machine learning (ML), computer vision (CV), and natural language processing (NLP), aims to develop and analyze computational approaches to automated reasoning in the presence of uncertainties. Such systems grounded in using insights from data will ultimately enhance human decision making capabilities in complex tasks, through the ability to process large amounts of data efficiently. In some cases this type of decision making can even reliably replace human decision making entirely.

Within the Department of Computer Science our AI/ML research interests span multiple areas: Foundational methods in ML and probabilistic methods (Kwang-Sung Jun, Jason Pacheco, Chicheng Zhang); Natural language processing (Mihai Surdeanu / CLU lab); Inferring statistical models from data with applications in computer vision and scientific data (Kobus Barnard / IVILAB).

Our group is highly collaborative, both within CS and across the university. The vibrant NSF-funded program for Transdisciplinary Research in Principles of Data Science (TRIPODS) fosters collaboration between Mathematics, Statistics and Computer Science. Large-scale collaborative projects are common, such as the recent DARPA-funded efforts for Theory of Mind-based Cognitive Architecture for Teams (ToMCAT) and the World Modelers project, which aims to build models of global-scale events.

We encourage you to visit ml.arizona.edu to learn more about AI/ML at the University of Arizona.

2024

Yichen Li and Chicheng Zhang. Agnostic interactive imitation learning: New theory and practical algorithms. International Conference on Machine Learning (ICML), 2024.
Kyoungseok Jang, Chicheng Zhang, and Kwang-Sung Jun. Efficient low-rank matrix estimation, experimental design, and arm-set-dependent low-rank bandits. International Conference on Machine Learning (ICML), 2024.
Tom Yan and Chicheng Zhang. The human-ai substitution game: active learning from a strategic labeler. In 12th International Conference on Learning Representations (ICLR), 2024.
A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee, Se-Young Yun, and Kwang-Sung Jun In Neural Information Processing Systems (NeurIPS), 2024
Adaptive Experimentation When You Can't Experiment Yao Zhao, Kwang-Sung Jun, Tanner Fiez, Lalit Jain In Neural Information Processing Systems (NeurIPS), 2024
Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization Kwang-Sung Jun, Jungtaek Kim In International Conference on Machine Learning (ICML), 2024

2022

ICML outstanding paper runner-up award (top 15 over 1200 accepted papers) 2022

Grant award: 2023-2026 "CIF: Small: Theory and Algorithms for Efficient and Large-Scale Monte Carlo Tree Search,"

Artificial Intelligence Faculty

Kobus Barnard

Professor
Office: GS 708
Interests: Computer vision, machine learning, scientific applications, multimedia data.
(Ph.D., Simon Fraser University, 1999)

kobus@cs.arizona.edu

Eduardo Blanco

Associate Professor
Office: GS 739
Interests: Natural language processing
(Ph.D., The University of Texas at Dallas, 2011)

eduardoblanco@arizona.edu

Kwang-Sung Jun

Assistant Professor
Office: GS 746
Interests: Interactive machine learning, reinforcement learning and bandits, learning theory
(Ph.D., University of Wisconsin-Madison, 2015)

kjun@cs.arizona.edu

Jason Pacheco

Assistant Professor
Office: GS 724
Interests: Statistical machine learning, probabilistic graphical models, approximate inference algorithms, and information-theoretic decision making
(Ph.D., Brown University, 2016)

pachecoj@cs.arizona.edu

Ellen Riloff

Department Head and Professor
Office: GS 805
Interests:
(Ph.D., University of Massachusetts at Amherst, 1994)

520-626-2998 riloff@cs.arizona.edu

Mihai Surdeanu

Professor
Office: GS 745
Interests: Natural language processing, applied machine learning, artificial intelligence.
(Ph.D., Southern Methodist University, 2001)

520-626-2706 msurdeanu@email.arizona.edu

Chicheng Zhang

Assistant Professor
Office: 720
Interests: Interactive machine learning, Reinforcement learning and bandits, Learning theory
(Ph.D., University of California at San Diego, 2017)

chichengz@arizona.edu

Artificial Intelligence (Natural Language Processing, Machine Learning, Vision)