Adam Stein

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 12

Top Topics

Approximate Reasoning

Negative Binomial

Decision Tree Learning

Reasoning Systems

Top Venues

Proc. ACM Program. Lang.

Proc. VLDB Endow.

Publications

Adam Stein, Aaditya Naik, Yinjun Wu, Mayur Naik, Eric Wong
Towards Compositionality in Concept Learning. CoRR (2024)
Aaditya Naik, Adam Stein, Yinjun Wu, Mayur Naik, Eric Wong
TorchQL: A Programming Framework for Integrity Constraints in Machine Learning. Proc. ACM Program. Lang. 8 (OOPSLA1) (2024)
Aaditya Naik, Aalok Thakkar, Adam Stein, Rajeev Alur, Mayur Naik
Relational Query Synthesis ⋈ Decision Tree Learning. Proc. VLDB Endow. 17 (2) (2023)
Shreya Havaldar, Adam Stein, Eric Wong, Lyle H. Ungar
TopEx: Topic-based Explanations for Model Comparison. Tiny Papers @ ICLR (2023)
Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
Rectifying Group Irregularities in Explanations for Distribution Shift. CoRR (2023)
Aaditya Naik, Adam Stein, Yinjun Wu, Eric Wong, Mayur Naik
MDB: Interactively Querying Datasets and Models. CoRR (2023)
Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik
Learning to Select Pivotal Samples for Meta Re-weighting. AAAI (2023)
Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch
Faithful Chain-of-Thought Reasoning. CoRR (2023)
Shreya Havaldar, Adam Stein, Eric Wong, Lyle Ungar
TopEx: Topic-based Explanations for Model Comparison. CoRR (2023)
Yinjun Wu, Adam Stein, Jacob Gardner, Mayur Naik
Learning to Select Pivotal Samples for Meta Re-weighting. CoRR (2023)
Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch
Faithful Chain-of-Thought Reasoning. IJCNLP (1) (2023)
Zachary Nichols, Adam Stein
Attribution Inference for Digital Advertising using Inhomogeneous Poisson Models. WWW (2018)