Jason Pacheco

Publication Activity (10 Years)

Years Active: 2009-2024
Publications (10 Years): 15

Top Topics

Sequential Decision Making

Top Venues

ICDM (Workshops)

Publications

Jianwei Shen, Jason Pacheco
Efficient Variational Sequential Information Control. AISTATS (2024)
Caleb Dahlke, Jason Pacheco
On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy. NeurIPS (2023)
Xiwen Chen, Hao Wang, Abolfazl Razi, Brendan Russo, Jason Pacheco, John Roberts, Jeffrey Wishart, Larry Head, Alonso Granados Baca
Network-Level Safety Metrics for Overall Traffic Safety Assessment: A Case Study. IEEE Access 11 (2023)
Caleb Dahlke, Sue Zheng, Jason Pacheco
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models. AISTATS (2023)
Xiwen Chen, Hao Wang, Abolfazl Razi, Brendan Russo, Jason Pacheco, John Roberts, Jeffrey Wishart, Larry Head
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study. CoRR (2022)
Rouzbeh Behnia, MohammadReza Ebrahimi, Jason Pacheco, Balaji Padmanabhan
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. ICDM (Workshops) (2022)
Rouzbeh Behnia, Mohammadreza Ebrahimi, Jason Pacheco, Balaji Padmanabhan
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy. CoRR (2022)
MohammadReza Ebrahimi, Weifeng Li, Yidong Chai, Jason Pacheco, Hsinchun Chen
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection. ICDM (Workshops) (2022)
Mohammadreza Ebrahimi, Jason Pacheco, Weifeng Li, James Lee Hu, Hsinchun Chen
Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces. SP Workshops (2021)
Christopher L. Dean, Stephen J. Lee, Jason Pacheco, John W. Fisher III
Lightweight Data Fusion with Conjugate Mappings. CoRR (2020)
Sue Zheng, David S. Hayden, Jason Pacheco, John W. Fisher III
Sequential Bayesian Experimental Design with Variable Cost Structure. NeurIPS (2020)
David S. Hayden, Jason Pacheco, John W. Fisher III
Nonparametric Object and Parts Modeling With Lie Group Dynamics. CVPR (2020)
Jason Pacheco, John W. Fisher III
Variational Information Planning for Sequential Decision Making. AISTATS (2019)
Sue Zheng, Jason Pacheco, John W. Fisher III
A Robust Approach to Sequential Information Theoretic Planning. ICML (2018)
Daniel Milstein, Jason Pacheco, Leigh J. Hochberg, John D. Simeral, Beata Jarosiewicz, Erik B. Sudderth
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces. NIPS (2017)
Jason Pacheco, Erik B. Sudderth
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach. ICML (2015)
Jason Pacheco, Silvia Zuffi, Michael J. Black, Erik B. Sudderth
Preserving Modes and Messages via Diverse Particle Selection. ICML (2014)
Christian G. Hempel, Tod Luginbuhl, Jason Pacheco
Performance analysis of Adaptive Probabilistic Multi-hypothesis Tracking with the Metron data sets. FUSION (2011)
Christian G. Hempel, Jason Pacheco
Performance analysis of the Probabilistic Multi-hypothesis Tracking algorithm on the SEABAR data sets. FUSION (2009)