Research
A Unifying Causal Framework for Analyzing Dataset Shift-Stable Learning Algorithms
Adarsh Subbaswamy, Bryant Chen, Suchi Saria
Journal of Causal Inference 2022.
Exploiting Equality Constraints in Causal Inference
Chi Zhang, Carlos Cinelli, Bryant Chen, and Judea Pearl
International Conference on Artificial Intelligence and Statistics (AISTATS) 2021.
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models
Chi Zhang, Bryant Chen, and Judea Pearl
AAAI Conference on Artificial Intelligence (AAAI) 2020.
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets
Daniel Kumor, Bryant Chen, and Elias Bareinboim
Neural Information Processing Systems (NeurIPS) 2019.
Sensitivity Analysis of Linear Structural Causal Models
Carlos Cinelli, Daniel Kumor, Bryant Chen, Elias Bareinboim, and Judea Pearl
Proceedings of the International Conference on Machine Learning (ICML) 2019.
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian Molloy and Biplav Srivastava
SafeAI Workshop @ AAAI 2018
Best Paper Award
Game for Detecting Backdoor Attacks on Deep Neural Networks using Activation Clustering
Casey Dugan, Werner Geyer, Aabhas Sharma, Ingrid Lange, Dustin Ramsey Torres, Bryant Chen, Nathalie Baracaldo, Heiko Ludwig
Neural Information Processing Systems (NIPS), Demonstration, 2018
ysla: Reusable and Configurable SLAs for Large-Scale SLA Management
Robert Engel, Shashank Rajamoni, Bryant Chen, Heiko Ludwig, and Alexander Keller
IEEE Conference on Collaboration and Internet Computing (CIC), 2018
When Confounders are Confounded: Naive Benchmarking in Sensitivity Analysis
Carlos Cinelli, Judea Pearl, Bryant Chen
Joint Statistical Meetings, 2018
Detecting Poisoning Attacks on Machine Learning in IoT Environments
Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Amir Safavi, Rui Zhang
IEEE International Congress of Internet of Things (ICIOT), 2018
Best Paper Award
Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance-Based Approach
Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Safavi
ACM Workshop on Artificial Intelligence and Security (AISEC) @ CCS 2017
Domain-Independent Monitoring and Visualization of SLA Metrics in Multi-provider Environments
Robert Engel, Bryant Chen, Shashank Rajamoni, Heiko Ludwig, Alexander Keller, Mohamed Mohamed
Proceedings of the International Conference on Cooperative Information Systems (COOPIS) 2017.
Identification and Model Testing using Auxiliary Variables
Bryant Chen, Daniel Kumor, Elias Bareinboim
Proceedings of the International Conference on Machine Learning (ICML) 2017.
Detecting Causative Attacks using Data Provenance
Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Safavi
Private and Secure Machine Learning (PSML) Workshop @ ICML 2017.
Graphical Tools for Linear Path Models
Bryant Chen, Judea Pearl, Rex Kline
Identification and Overidentification of Linear Structural Equation Models
Bryant Chen
Proceedings of Neural Information Processing Systems (NIPS) 2016.
Incorporating Knowledge into Structural Equation Models using Auxiliary Variables
Bryant Chen, Judea Pearl, and Elias Bareinboim
Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) 2016.
Decomposition and Identification of Linear Structural Equation Models
Bryant Chen
Exogeneity and Robustness
Bryant Chen and Judea Pearl
Submitted.
Graphical Tools for Linear Structural Equation Modeling
Bryant Chen and Judea Pearl
Testable Implications of Linear Structural Equation Models
Bryant Chen, Jin Tian, and Judea Pearl
Proceedings of AAAI Conference on Artificial Intelligence 2014.
Linear-Time Accurate Lattice Algorithms for Tail Conditional Expectation
Bryant Chen, William Hsu, Ming-Yang Kao, and Jan-Ming Ho
Algorithmic Finance 2014.
Regression and Causation: A Critical Examination of Econometrics Textbooks
Bryant Chen and Judea Pearl
Real-World Economics Review, Issue No. 65, 2--20, 2013
A Game Theoretic Approach to Modeling User Behavior in Online Auctions
Damian Ancukiewicz, Bryant Chen, and Max Ohlendorf
Integrating Diabetes Data for Analysis, Sharing, and Discovery
Nathaniel Heintzman, Bryant Chen, Tushar Dave, Lucila Ohno-Machado
AMIA Clinical Research Informatics Summit 2012
Fast Accurate Algorithms for Tail Conditional Expectation
Bryant Chen, William Hsu, and Ming-Yang Kao
Proceedings of the International Conference on Numerical Analysis and Applied Mathematics 2009
Speeding Up Two-Level Simulation for Tail Conditional Expectations by Means of Prefix Sum Based Algorithms
Yi-Cheng Tsai, Hsin-Tsung Peng, Jan-Ming Ho, Bryant Chen, and Ming-Yang Kao
Proceedings of The World Congress on Engineering 2009