Office: Gould-Simpson, Rm. 724
Mailing Address
University of Arizona
Department of Computer Science
1040 E 4th St.
Tucson, AZ 85721
Jason L. Pacheco
Statistical Machine Learning and Stochastic Systems
About me. I am an Assistant Professor
in the Department of Computer Science at
the University of
Arizona in sunny Tucson Arizona. Before joining UA I
completed my PhD in Computer Science at Brown University
with Erik
Sudderth. I also held a postdoc position at MIT CSAIL
with John
Fisher III.
Research.My research in statistical
machine learning aims to build intelligent systems for
automated reasoning in stochastic systems. To achieve this
requires the development of algorithms that yield
efficient inferences, while remaining flexible enough to
adapt to complex domains. My research interests span a
variety of application domains including computer vision,
signal processing, computational biology, and
computational neuroscience. For more details see
my CV.
For more information about machine learning at UA
see our website.
Recent News
- Our paper Risk-Sensitive Variational Actor-Critic: A Model-Based Approach was accepted to ICLR 2025
- Our paper Flow-based Variational Mutual Information: Fast and Flexible Approximations was accepted to ICLR 2025
- Congratulations to Dr. Caleb Dahlke for a successful PhD defense!
- Our paper Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement was accepted to NeurIPS 2024
- Our paper Efficient Variational Sequential Information Control was accepted to AISTATS 2024
- Our paper Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models was accepted to AISTATS 2023
- Recieved the Air Force Office of Scientific Research (AFOSR) Young Investigator Program (YIP) award for Robust Maximum Entropy Planning, Learning, and Control in Uncertain Environments
Interested in working with me?
I am happy to collaborate with motivated students! If
you would like to join my group, see the following items
before emailing me:
- Take my classes CSC 535 : Intro. to Probabilistic Graphical Models or CSC 665 : Advanced
Topics in Probabilistic Graphical Models.
- If you wish to work with me as a PhD
student read
more here.
- Checkout some of my recent
publications for project ideas.
