Jaan Altosaar

According to our database, Jaan Altosaar authored at least 16 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Developing a Robust Computable Phenotype Definition Workflow to Describe Health and Disease in Observational Health Research.

Jacob S. Zelko, Sarah Gasman, Shenita R. Freeman, Dong Yun Lee, Jaan Altosaar, Azza Shoaibi, Gowtham Rao

CoRR, 2023

2022

Assisted Living in the United States: an Open Dataset.

Anton Stengel, Jaan Altosaar, Rebecca Dittrich, Noémie Elhadad

CoRR, 2022

Assessing Phenotype Definitions for Algorithmic Fairness.

Tony Y. Sun, Shreyas Bhave, Jaan Altosaar, Noemie Elhadad

Proceedings of the AMIA 2022, 2022

2021

Supervised topic modeling for predicting molecular substructure from mass spectrometry.

Gabriel Reder, Adamo Young, Jaan Altosaar, Jakub Rajniak, Noémie Elhadad, Michael Fischbach, Susan Holmes

F1000Research, 2021

Gender Differences in Time to Diagnosis through Fairness and Time Variant Evaluation of EHR Data.

Tony Y. Sun, Oliver J. Bear Don't Walk IV, Jenny Chen, Jaan Altosaar, Harry Reyes Nieva, Noemie Elhadad

Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021

2020

Probabilistic Modeling of Structure in Science: Statistical Physics to Recommender Systems

Jaan Altosaar

PhD thesis, 2020

Evaluating representations by the complexity of learning low-loss predictors.

William F. Whitney, Min Jae Song, David Brandfonbrener, Jaan Altosaar, Kyunghyun Cho

CoRR, 2020

Recommending Interesting Writing using a Controllable, Explanation-Aware Visual Interface.

Rohan Bansal, Jordan Olmstead, Uri Bram, Robert Cottrell, Gabriel Reder, Jaan Altosaar

Proceedings of the 7th Joint Workshop on Interfaces and Human Decision Making for Recommender Systems co-located with 14th ACM Conference on Recommender Systems (RecSys 2020), 2020

2019

ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission.

Kexin Huang, Jaan Altosaar, Rajesh Ranganath

CoRR, 2019

2018

Noisin: Unbiased Regularization for Recurrent Neural Networks.

Adji Bousso Dieng, Rajesh Ranganath, Jaan Altosaar, David M. Blei

Proceedings of the 35th International Conference on Machine Learning, 2018

Proximity Variational Inference.

Jaan Altosaar, Rajesh Ranganath, David M. Blei

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Factorization Meets the Item Embedding: Regularizing Matrix Factorization with Item Co-occurrence.

Dawen Liang, Jaan Altosaar, Laurent Charlin, David M. Blei

Proceedings of the 10th ACM Conference on Recommender Systems, 2016

Operator Variational Inference.

Rajesh Ranganath, Dustin Tran, Jaan Altosaar, David M. Blei

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Sonification of fish movement using pitch mesh pairs.

Andrew Mercer-Taylor, Jaan Altosaar

Proceedings of the 15th International Conference on New Interfaces for Musical Expression, 2015

Musicmapper: interactive 2d representations of music samples for in-browser remixing and exploration.

Ethan Benjamin, Jaan Altosaar

Proceedings of the 15th International Conference on New Interfaces for Musical Expression, 2015

Fast, Flexible Models for Discovering Topic Correlation across Weakly-Related Collections.

Jingwei Zhang, Aaron Gerow, Jaan Altosaar, James Evans, Richard Jean So

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015