Bryant Chen

Publication Activity (10 Years)

Years Active: 2014-2021
Publications (10 Years): 17

Top Topics

Machine Learning Models

Conditional Expectation

Structural Equation Models

Top Venues

Publications

Zahra Ashktorab, Casey Dugan, James Johnson, Aabhas Sharma, Dustin Ramsey Torres, Ingrid Lange, Benjamin Hoover, Heiko Ludwig, Bryant Chen, Nathalie Baracaldo, Werner Geyer, Qian Pan
The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game. IUI (2021)
Chi Zhang, Carlos Cinelli, Bryant Chen, Judea Pearl
Exploiting Equality Constraints in Causal Inference. AISTATS (2021)
Chi Zhang, Bryant Chen, Judea Pearl
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models. AAAI (2020)
Adarsh Subbaswamy, Bryant Chen, Suchi Saria
The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance. CoRR (2019)
Daniel Kumor, Bryant Chen, Elias Bareinboim
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets. CoRR (2019)
Daniel Kumor, Bryant Chen, Elias Bareinboim
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets. NeurIPS (2019)
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. SafeAI@AAAI (2019)
Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim
Sensitivity Analysis of Linear Structural Causal Models. ICML (2019)
Shashank Rajamoni, Robert Engel, Bryant Chen, Heiko Ludwig, Alexander Keller
Cross-Client SLA Management with the ysla Language and Engine. ICSOC Workshops (2018)
Robert Engel, Shashank Rajamoni, Bryant Chen, Heiko Ludwig, Alexander Keller
ysla: Reusable and Configurable SLAs for Large-Scale SLA Management. CIC (2018)
Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi, Rui Zhang
Detecting Poisoning Attacks on Machine Learning in IoT Environments. ICIOT (2018)
Bryant Chen, Wilka Carvalho, Nathalie Baracaldo, Heiko Ludwig, Benjamin Edwards, Taesung Lee, Ian M. Molloy, Biplav Srivastava
Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. CoRR (2018)
Bryant Chen, Daniel Kumor, Elias Bareinboim
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables. ICML (2017)
Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi
Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach. AISec@CCS (2017)
Robert Engel, Bryant Chen, Shashank Rajamoni, Heiko Ludwig, Alexander Keller, Mohamed Mohamed, Samir Tata
Domain-Independent Monitoring and Visualization of SLA Metrics in Multi-provider Environments - (Short Paper). OTM Conferences (1) (2017)
Bryant Chen, Judea Pearl, Elias Bareinboim
Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables. IJCAI (2016)
Bryant Chen
Identification and Overidentification of Linear Structural Equation Models. NIPS (2016)
Bryant Chen, Judea Pearl, Elias Bareinboim
Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models. CoRR (2015)
Bryant Chen
Decomposition and Identification of Linear Structural Equation Models. CoRR (2015)
Bryant Chen, William W. Y. Hsu, Jan-Ming Ho, Ming-Yang Kao
Linear-time accurate lattice algorithms for tail conditional expectation. Algorithmic Finance 3 (1-2) (2014)
Bryant Chen, Jin Tian, Judea Pearl
Testable Implications of Linear Structural Equation Models. AAAI (2014)