Jason Pacheco
- Assistant Professor, Computer Science
- Member of the Graduate Faculty
Contact
- (520) 621-4632
- Gould-Simpson, Rm. 724
- Tucson, AZ 85721
- pachecoj@arizona.edu
Bio
No activities entered.
Interests
No activities entered.
Courses
2025-26 Courses
-
Dissertation
CSC 920 (Fall 2025) -
Probabilistic Graphical Models
CSC 535 (Fall 2025)
2024-25 Courses
-
Dissertation
CSC 920 (Spring 2025) -
Independent Study
CSC 499 (Spring 2025) -
Principles of Machine Learning
CSC 480 (Spring 2025) -
Principles of Machine Learning
CSC 580 (Spring 2025) -
Thesis
CSC 910 (Spring 2025) -
Dissertation
CSC 920 (Fall 2024) -
Independent Study
APPL 599 (Fall 2024) -
Probabilistic Graphical Models
CSC 535 (Fall 2024) -
Thesis
CSC 910 (Fall 2024)
2023-24 Courses
-
AdvTpc Artificial Intelligence
CSC 696H (Spring 2024) -
Dissertation
CSC 920 (Spring 2024) -
Dissertation
MATH 920 (Spring 2024) -
Dissertation
MATH 920 (Fall 2023) -
Principles of Machine Learning
CSC 480 (Fall 2023) -
Principles of Machine Learning
CSC 580 (Fall 2023) -
Research
CSC 900 (Fall 2023)
2022-23 Courses
-
Dissertation
MATH 920 (Spring 2023) -
Probabilistic Graphical Models
CSC 535 (Spring 2023) -
Thesis
CSC 910 (Spring 2023) -
AdvTpc Artificial Intelligence
CSC 696H (Fall 2022) -
Dissertation
MATH 920 (Fall 2022) -
Research
CSC 900 (Fall 2022) -
Thesis
CSC 910 (Fall 2022)
2021-22 Courses
-
Probabilistic Graphical Models
CSC 535 (Spring 2022) -
Research
CSC 900 (Spring 2022) -
Research
MATH 900 (Spring 2022) -
Principles of Data Science
CSC 380 (Fall 2021) -
Research
MATH 900 (Fall 2021)
2020-21 Courses
-
Research
CSC 900 (Spring 2021) -
Probabilistic Graphical Models
CSC 535 (Fall 2020) -
Research
CSC 900 (Fall 2020)
2019-20 Courses
-
Adv Tpcs:Doctoral Colloq
CSC 695C (Spring 2020) -
Adv Tpcs Computat Intell
CSC 665 (Fall 2019) -
Adv Tpcs:Doctoral Colloq
CSC 695C (Fall 2019)
Scholarly Contributions
Journals/Publications
- Dean, C. L., Lee, S. J., Pacheco, J., & Fisher, I. (2020). Lightweight Data Fusion with Conjugate Mappings. arXiv preprint arXiv:2011.10607.
- Zheng, S., Hayden, D., Pacheco, J., & Fisher, I. (2020). Sequential bayesian experimental design with variable cost structure. Advances in Neural Information Processing Systems, 33, 4127--4137.
Proceedings Publications
- Ebrahimi, M., Pacheco, J., Li, W., Hu, J. L., & Chen, H. (2021). Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces. In 2021 IEEE Security and Privacy Workshops (SPW).
- Hayden, D. S., Pacheco, J., & Fisher, J. W. (2020). Nonparametric object and parts modeling with lie group dynamics. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.
