A. Schmaltz

发表

Ecological Regression with Partial Identification

M. Tanner, Wenxin Jiang, G. King, 2018, Political Analysis.

Sharpening the Resolution on Data Matters: A Brief Roadmap for Understanding Deep Learning for Medical Data.

Andrew Beam, A. Schmaltz, 2020, The spine journal : official journal of the North American Spine Society.

Approximate Conditional Coverage via Neural Model Approximations

A. Schmaltz, D. Rasooly, Danielle Rasooly, 2022, ArXiv.

Approximate Conditional Coverage via Neural Model Approximations

A. Schmaltz, D. Rasooly, 2022, ArXiv.

Approximate Conditional Coverage&Calibration via Neural Model Approximations

A. Schmaltz, D. Rasooly, Danielle Rasooly, 2022, 2205.14310.

Introspection, Updatability, and Uncertainty Quantiﬁcation with Transformers: Concrete Methods for AI Safety

A. Schmaltz, D. Rasooly, 2022 .

Coarse-to-Fine Memory Matching for Joint Retrieval and Classification pdf

Allen Schmaltz, Andrew Beam, Andrew Beam, 2020, ArXiv.

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

Tianxi Cai, Griffin M. Weber, Andrew L. Beam, 2018, PSB.

Sentence-Level Grammatical Error Identification as Sequence-to-Sequence Correction

Alexander M. Rush, Stuart M. Shieber, Yoon Kim, 2016, BEA@NAACL-HLT.

Word Ordering Without Syntax

Alexander M. Rush, Stuart M. Shieber, Allen Schmaltz, 2016, EMNLP.

Detecting Local Insights from Global Labels: Supervised and Zero-Shot Sequence Labeling via a Convolutional Decomposition

A. Schmaltz, 2019, CL.

Word Ordering Without Syntax The Harvard community has made this article openly available. Please share how this access benefits you. Your story matters

Alexander M. Rush, S. Shieber, A. Schmaltz, 2016 .

On the Utility of Lay Summaries and AI Safety Disclosures: Toward Robust, Open Research Oversight

Allen Schmaltz, A. Schmaltz, 2018, EthNLP@NAACL-HLT.

Exemplar Auditing for Multi-Label Biomedical Text Classification pdf

Allen Schmaltz, Andrew Beam, Andrew Beam, 2020, ArXiv.