Yoni Halpern

发表

Learning topic models -- provably and efficiently

Sanjeev Arora, Ankur Moitra, David M. Mimno, 2018, Commun. ACM.

A Practical Algorithm for Topic Modeling with Provable Guarantees pdf

Sanjeev Arora, Ankur Moitra, David M. Mimno, 2012, ICML.

A Comparison of Dimensionality Reduction Techniques for Unstructured Clinical Text

Yoni Halpern, 2012 .

Learning to Count Mosquitoes for the Sterile Insect Technique

D. Sculley, Dilip Krishnan, Yoni Halpern, 2017, KDD.

Predicting Chief Complaints at Triage Time in the Emergency Department

Yacine Jernite, Yoni Halpern, 2013 .

Fairness is not static: deeper understanding of long term fairness via simulation studies

Alexander D'Amour, D. Sculley, Pallavi Baljekar, 2020, FAT*.

Electronic medical record phenotyping using the anchor and learn framework

David Sontag, Youngduck Choi, Steven Horng, 2016, J. Am. Medical Informatics Assoc..

Creating an automated trigger for sepsis clinical decision support at emergency department triage using machine learning

Steven Horng, Yoni Halpern, David A Sontag, 2017, PloS one.

Anchored Discrete Factor Analysis pdf

David Sontag, Steven Horng, Yoni Halpern, 2015, ArXiv.

Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models

D. Sontag, Andrej Risteski, Yoni Halpern, 2019, ICML.

No Classification without Representation: Assessing Geodiversity Issues in Open Data Sets for the Developing World

D. Sculley, Yoni Halpern, Jimbo Wilson, 2017, 1711.08536.

The Inclusive Images Competition

D. Sculley, Sergey I. Nikolenko, Pallavi Baljekar, 2019 .

Learning a Health Knowledge Graph from Electronic Medical Records

David Sontag, Steven Horng, Yoni Halpern, 2017, Scientific Reports.

Measuring Recommender System Effects with Simulated Users pdf

Ed H. Chi, Jilin Chen, Alex Beutel, 2021, ArXiv.

Causally motivated shortcut removal using auxiliary labels

Davis W. Blalock, Ben Packer, A. D'Amour, 2021, AISTATS.

Improving documentation of presenting problems in the emergency department using a domain-specific ontology and machine learning-driven user interfaces

Larry A. Nathanson, David Sontag, Steven Horng, 2019, Int. J. Medical Informatics.

Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network

Nigam H. Shah, Juan M. Banda, David Sontag, 2017, CRI.

Fair treatment allocations in social networks pdf

Yoni Halpern, James Atwood, D Sculley, 2019, ArXiv.

Building Healthy Recommendation Sequences for Everyone:A Safe Reinforcement Learning Approach

Ed H. Chi, Alex Beutel, Yoni Halpern, 2021 .

Derivation and validation of a machine learning record linkage algorithm between emergency medical services and the emergency department

Steven Horng, Yoni Halpern, Colby Redfield, 2019, J. Am. Medical Informatics Assoc..

Using Anchors to Estimate Clinical State without Labeled Data

David Sontag, Youngduck Choi, Steven Horng, 2014, AMIA.

A Practical Algorithm for Topic Modeling with Provable Guarantees

Sanjeev Arora, D. Sontag, Rong Ge, 2012, ICML.

Learning from Negative User Feedback and Measuring Responsiveness for Sequential Recommenders

Longfei Li, Alex Beutel, Yoni Halpern, 2023, RecSys.

Benefits of Overparameterization in Single-Layer Latent Variable Generative Models pdf

Andrej Risteski, David Sontag, Yoni Halpern, 2019, ArXiv.

Electronic phenotyping with APHRODITE and the Observational Health Sciences and Informatics (OHDSI) data network

D. Sontag, N. Shah, J. Banda, 2017, CRI.