Jason Pacheco

29 papers A* 10A 3C 2Journal 9Unranked 5
YearRankTypeTitle / Venue / Authors
2026 A* conf
Risk-Sensitive Exponential Actor Critic.
AAAI
Alonso Granados Baca, Jason Pacheco
2026 J jnl
Risk-Sensitive Exponential Actor Critic.
CoRR
Alonso Granados Baca, Jason Pacheco
2025 — conf
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models.
SP (Workshops)
Kasra Ahmadi, Rouzbeh Behnia, Reza Ebrahimi, Mehran Mozaffari Kermani, Jeremiah Birrell, Jason Pacheco, Attila A. Yavuz
2025 J jnl
An Interactive Framework for Implementing Privacy-Preserving Federated Learning: Experiments on Large Language Models.
CoRR
Kasra Ahmadi, Rouzbeh Behnia, Reza Ebrahimi, Mehran Mozaffari Kermani, Jeremiah Birrell, Jason Pacheco, Attila A. Yavuz
2025 A* conf
Flow-based Variational Mutual Information: Fast and Flexible Approximations.
ICLR
Caleb Dahlke, Jason Pacheco
2025 J jnl
Learning Contextualized Action Representations in Sequential Decision Making for Adversarial Malware Optimization.
IEEE Trans. Dependable Secur. Comput.
Reza Ebrahimi, Jason Pacheco, James Hu, Hsinchun Chen
2025 J jnl
RADAR: A Framework for Developing Adversarially Robust Cyber Defense AI Agents with Deep Reinforcement Learning.
MIS Q.
Reza Ebrahimi, Yidong Chai, Weifeng Li, Jason Pacheco, Hsinchun Chen
2025 A* conf
Risk-Sensitive Variational Actor-Critic: A Model-Based Approach.
ICLR
Alonso Granados Baca, Reza Ebrahimi, Jason Pacheco
2024 A* conf
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement.
NeurIPS
Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco
2024 J jnl
Differentially Private Stochastic Gradient Descent with Fixed-Size Minibatches: Tighter RDP Guarantees with or without Replacement.
CoRR
Jeremiah Birrell, Reza Ebrahimi, Rouzbeh Behnia, Jason Pacheco
2024 A conf
Efficient Variational Sequential Information Control.
AISTATS
Jianwei Shen, Jason Pacheco
2023 A conf
Fast Variational Estimation of Mutual Information for Implicit and Explicit Likelihood Models.
AISTATS
Caleb Dahlke, Sue Zheng, Jason Pacheco
2023 J jnl
Network-Level Safety Metrics for Overall Traffic Safety Assessment: A Case Study.
IEEE Access
Xiwen Chen, Hao Wang, Abolfazl Razi, Brendan Russo, Jason Pacheco, John Roberts, Jeffrey Wishart, Larry Head, Alonso Granados Baca
2023 A* conf
On Convergence of Polynomial Approximations to the Gaussian Mixture Entropy.
NeurIPS
Caleb Dahlke, Jason Pacheco
2022 — conf
An Adversarial Reinforcement Learning Framework for Robust Machine Learning-based Malware Detection.
ICDM (Workshops)
Mohammadreza Ebrahimi, Weifeng Li, Yidong Chai, Jason Pacheco, Hsinchun Chen
2022 — conf
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy.
ICDM (Workshops)
Rouzbeh Behnia, Mohammadreza Ebrahimi, Jason Pacheco, Balaji Padmanabhan
2022 J jnl
EW-Tune: A Framework for Privately Fine-Tuning Large Language Models with Differential Privacy.
CoRR
Rouzbeh Behnia, Mohammadreza Ebrahimi, Jason Pacheco, Balaji Padmanabhan
2022 J jnl
Network-level Safety Metrics for Overall Traffic Safety Assessment: A Case Study.
CoRR
Xiwen Chen, Hao Wang, Abolfazl Razi, Brendan Russo, Jason Pacheco, John Roberts, Jeffrey Wishart, Larry Head
2021 — conf
Binary Black-Box Attacks Against Static Malware Detectors with Reinforcement Learning in Discrete Action Spaces.
SP (Workshops)
Mohammadreza Ebrahimi, Jason Pacheco, Weifeng Li, James Lee Hu, Hsinchun Chen
2020 J jnl
Lightweight Data Fusion with Conjugate Mappings.
CoRR
Christopher L. Dean, Stephen J. Lee, Jason Pacheco, John W. Fisher III
2020 A* conf
Nonparametric Object and Parts Modeling With Lie Group Dynamics.
CVPR
David S. Hayden, Jason Pacheco, John W. Fisher III
2020 A* conf
Sequential Bayesian Experimental Design with Variable Cost Structure.
NeurIPS
Sue Zheng, David S. Hayden, Jason Pacheco, John W. Fisher III
2019 A conf
Variational Information Planning for Sequential Decision Making.
AISTATS
Jason Pacheco, John W. Fisher III
2018 A* conf
A Robust Approach to Sequential Information Theoretic Planning.
ICML
Sue Zheng, Jason Pacheco, John W. Fisher III
2017 — conf
Multiscale Semi-Markov Dynamics for Intracortical Brain-Computer Interfaces.
NIPS
Daniel Milstein, Jason Pacheco, Leigh J. Hochberg, John D. Simeral, Beata Jarosiewicz, Erik B. Sudderth
2015 A* conf
Proteins, Particles, and Pseudo-Max-Marginals: A Submodular Approach.
ICML
Jason Pacheco, Erik B. Sudderth
2014 A* conf
Preserving Modes and Messages via Diverse Particle Selection.
ICML
Jason Pacheco, Silvia Zuffi, Michael J. Black, Erik B. Sudderth
2011 C conf
Performance analysis of Adaptive Probabilistic Multi-hypothesis Tracking with the Metron data sets.
FUSION
Christian G. Hempel, Tod Luginbuhl, Jason Pacheco
2009 C conf
Performance analysis of the Probabilistic Multi-hypothesis Tracking algorithm on the SEABAR data sets.
FUSION
Christian G. Hempel, Jason Pacheco