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2020 – today
- 2021
[c15]Chi Zhang, Carlos Cinelli, Bryant Chen, Judea Pearl:
Exploiting Equality Constraints in Causal Inference. AISTATS 2021: 1630-1638- [c14]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: 423-433 - 2020
- [c13]Chi Zhang, Bryant Chen, Judea Pearl:
A Simultaneous Discover-Identify Approach to Causal Inference in Linear Models. AAAI 2020: 10318-10325
2010 – 2019
- 2019
- [c12]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 - [c11]Carlos Cinelli, Daniel Kumor, Bryant Chen, Judea Pearl, Elias Bareinboim:
Sensitivity Analysis of Linear Structural Causal Models. ICML 2019: 1252-1261 - [c10]Daniel Kumor, Bryant Chen, Elias Bareinboim:
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets. NeurIPS 2019: 12477-12486 - [i5]Adarsh Subbaswamy, Bryant Chen, Suchi Saria:
The Hierarchy of Stable Distributions and Operators to Trade Off Stability and Performance. CoRR abs/1905.11374 (2019) - [i4]Daniel Kumor, Bryant Chen, Elias Bareinboim:
Efficient Identification in Linear Structural Causal Models with Instrumental Cutsets. CoRR abs/1910.13493 (2019) - 2018
- [c9]Robert Engel, Shashank Rajamoni, Bryant Chen, Heiko Ludwig, Alexander Keller:
ysla: Reusable and Configurable SLAs for Large-Scale SLA Management. CIC 2018: 317-325 - [c8]Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi, Rui Zhang:
Detecting Poisoning Attacks on Machine Learning in IoT Environments. ICIOT 2018: 57-64 - [c7]Shashank Rajamoni, Robert Engel, Bryant Chen, Heiko Ludwig, Alexander Keller:
Cross-Client SLA Management with the ysla Language and Engine. ICSOC Workshops 2018: 476-480 - [i3]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 abs/1811.03728 (2018) - 2017
- [c6]Nathalie Baracaldo, Bryant Chen, Heiko Ludwig, Jaehoon Amir Safavi:
Mitigating Poisoning Attacks on Machine Learning Models: A Data Provenance Based Approach. AISec@CCS 2017: 103-110 - [c5]Bryant Chen, Daniel Kumor, Elias Bareinboim:
Identification and Model Testing in Linear Structural Equation Models using Auxiliary Variables. ICML 2017: 757-766 - [c4]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: 628-638 - 2016
- [c3]Bryant Chen, Judea Pearl, Elias Bareinboim:
Incorporating Knowledge into Structural Equation Models Using Auxiliary Variables. IJCAI 2016: 3577-3583 - [c2]Bryant Chen:
Identification and Overidentification of Linear Structural Equation Models. NIPS 2016: 1579-1587 - 2015
- [i2]Bryant Chen:
Decomposition and Identification of Linear Structural Equation Models. CoRR abs/1508.01834 (2015) - [i1]Bryant Chen, Judea Pearl, Elias Bareinboim:
Identification by Auxiliary Instrumental Sets in Linear Structural Equation Models. CoRR abs/1511.02995 (2015) - 2014
- [j1]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): 87-140 (2014) - [c1]Bryant Chen, Jin Tian, Judea Pearl:
Testable Implications of Linear Structural Equation Models. AAAI 2014: 2424-2430
Coauthor Index
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