Testable Implications of Linear Structural Equation Models. - Bryant Chen; Jin Tian 001; Judea Pearl (AAAI, 2014)

Linear-time accurate lattice algorithms for tail conditional expectation. - Bryant Chen; William W. Y. Hsu; Jan-Ming Ho; Ming-Yang Kao (Algorithmic Finance, 2014)

Decomposition and Identification of Linear Structural Equation Models. - Bryant Chen (CoRR, 2015)

Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models. - Bryant Chen; Judea Pearl; Elias Bareinboim (CoRR, 2015)

Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables. - Bryant Chen; Judea Pearl; Elias Bareinboim (IJCAI, 2016)

Identification and Overidentification of Linear Structural Equation Models. - Bryant Chen (NIPS, 2016)

Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach. - Nathalie Baracaldo; Bryant Chen; Heiko Ludwig; Jaehoon Amir Safavi (AISec@CCS, 2017)

Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables. - Bryant Chen; Daniel Kumor; Elias Bareinboim (ICML, 2017)

Domain-Independent Monitoring and Visualization of SLA Metrics in Multi-provider Environments - (Short Paper). - Robert Engel; Bryant Chen; Shashank Rajamoni; Heiko Ludwig; Alexander Keller 002; Mohamed Mohamed 001; Samir Tata (OTM Conferences (1), 2017)

ysla: Reusable and Configurable SLAs for Large-Scale SLA Management. - Robert Engel; Shashank Rajamoni; Bryant Chen; Heiko Ludwig; Alexander Keller 002 (CIC, 2018)

Detecting Poisoning Attacks on Machine Learning in IoT Environments. - Nathalie Baracaldo; Bryant Chen; Heiko Ludwig; Jaehoon Amir Safavi; Rui Zhang 028 (ICIOT, 2018)

Cross-Client SLA Management with the ysla Language and Engine. - Shashank Rajamoni; Robert Engel; Bryant Chen; Heiko Ludwig; Alexander Keller 002 (ICSOC Workshops, 2018)

Detecting Backdoor Attacks on Deep Neural Networks by Activation Clustering. - Bryant Chen; Wilka Carvalho; Nathalie Baracaldo; Heiko Ludwig; Benjamin Edwards; Taesung Lee; Ian M. Molloy; Biplav Srivastava (SafeAI@AAAI, 2019)

Sensitivity Analysis of Linear Structural Causal Models. - Carlos Cinelli; Daniel Kumor; Bryant Chen; Judea Pearl; Elias Bareinboim (ICML, 2019)

Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets. - Daniel Kumor; Bryant Chen; Elias Bareinboim (NeurIPS, 2019)

The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance. - Adarsh Subbaswamy; Bryant Chen; Suchi Saria (CoRR, 2019)

A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models. - Chi Zhang 016; Bryant Chen; Judea Pearl (AAAI, 2020)

Exploiting Equality Constraints in Causal Inference. - Chi Zhang 016; Carlos Cinelli; Bryant Chen; Judea Pearl (AISTATS, 2021)

The Design and Development of a Game to Study Backdoor Poisoning Attacks: The Backdoor Game. - 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 (IUI, 2021)