On Expert Estimation in Hierarchical Mixture of Experts: Beyond Softmax Gating Functions

Authors: Nguyen, Huy, Han, Xing, Harris, Carl, Saria, Suchi, Ho, Nhat

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2410.02935

Conformal Validity Guarantees Exist for Any Data Distribution (and How to Find Them)

Authors: Prinster, Drew, Stanton, Samuel, Liu, Anqi, Saria, Suchi

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2405.06627

The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)

Authors: Miao, Brenda Y., Chen, Irene Y., Williams, Christopher YK, Davidson, Jaysón, Garcia-Agundez, Augusto, Sun, Shenghuan, Zack, Travis, Saria, Suchi, Arnaout, Rima, Quer, Giorgio, Sadaei, Hossein J., Torkamani, Ali, Beaulieu-Jones, Brett, Yu, Bin, Gianfrancesco, Milena, Butte, Atul J., Norgeot, Beau, Sushil, Madhumita

Subject Terms: Computer Science - Computation and Language, Computer Science - Computer Vision and Pattern Recognition

Access URL: http://arxiv.org/abs/2403.02558

FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion

Authors: Han, Xing, Nguyen, Huy, Harris, Carl, Ho, Nhat, Saria, Suchi

Subject Terms: Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2402.03226

Data Augmentations for Improved (Large) Language Model Generalization

Authors: Feder, Amir, Wald, Yoav, Shi, Claudia, Saria, Suchi, Blei, David

Subject Terms: Computer Science - Machine Learning, Computer Science - Computation and Language

Access URL: http://arxiv.org/abs/2310.12803

JAWS: Auditing Predictive Uncertainty Under Covariate Shift

Authors: Prinster, Drew, Liu, Anqi, Saria, Suchi

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2207.10716

Beyond Low Earth Orbit: Biological Research, Artificial Intelligence, and Self-Driving Labs

Authors: Sanders, Lauren M., Yang, Jason H., Scott, Ryan T., Qutub, Amina Ann, Martin, Hector Garcia, Berrios, Daniel C., Hastings, Jaden J. A., Rask, Jon, Mackintosh, Graham, Hoarfrost, Adrienne L., Chalk, Stuart, Kalantari, John, Khezeli, Kia, Antonsen, Erik L., Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Delgado-Aparicio, Guillermo M., Glicksberg, Benjamin S., Greene, Casey S., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Mason, Christopher E., Matar, Mona, Mias, George I., Miller, Jack, Myers Jr., Jerry G., Nelson, Charlotte, Oribello, Jonathan, Park, Seung-min, Parsons-Wingerter, Patricia, Prabhu, R. K., Reynolds, Robert J., Saravia-Butler, Amanda, Saria, Suchi, Sawyer, Aenor, Singh, Nitin Kumar, Soboczenski, Frank, Snyder, Michael, Soman, Karthik, Theriot, Corey A., Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Zitnik, Marinka, Costes, Sylvain V.

Subject Terms: Quantitative Biology - Other Quantitative Biology, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2112.12582

Beyond Low Earth Orbit: Biomonitoring, Artificial Intelligence, and Precision Space Health

Authors: Scott, Ryan T., Antonsen, Erik L., Sanders, Lauren M., Hastings, Jaden J. A., Park, Seung-min, Mackintosh, Graham, Reynolds, Robert J., Hoarfrost, Adrienne L., Sawyer, Aenor, Greene, Casey S., Glicksberg, Benjamin S., Theriot, Corey A., Berrios, Daniel C., Miller, Jack, Babdor, Joel, Barker, Richard, Baranzini, Sergio E., Beheshti, Afshin, Chalk, Stuart, Delgado-Aparicio, Guillermo M., Haendel, Melissa, Hamid, Arif A., Heller, Philip, Jamieson, Daniel, Jarvis, Katelyn J., Kalantari, John, Khezeli, Kia, Komarova, Svetlana V., Komorowski, Matthieu, Kothiyal, Prachi, Mahabal, Ashish, Manor, Uri, Martin, Hector Garcia, Mason, Christopher E., Matar, Mona, Mias, George I., Myers, Jr., Jerry G., Nelson, Charlotte, Oribello, Jonathan, Parsons-Wingerter, Patricia, Prabhu, R. K., Qutub, Amina Ann, Rask, Jon, Saravia-Butler, Amanda, Saria, Suchi, Singh, Nitin Kumar, Soboczenski, Frank, Snyder, Michael, Soman, Karthik, Van Valen, David, Venkateswaran, Kasthuri, Warren, Liz, Worthey, Liz, Yang, Jason H., Zitnik, Marinka, Costes, Sylvain V.

Subject Terms: Quantitative Biology - Other Quantitative Biology, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2112.12554

Partial Identifiability in Discrete Data With Measurement Error

Authors: Finkelstein, Noam, Adams, Roy, Saria, Suchi, Shpitser, Ilya

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Methodology

Access URL: http://arxiv.org/abs/2012.12449

The Impact of Time Series Length and Discretization on Longitudinal Causal Estimation Methods

Authors: Adams, Roy, Saria, Suchi, Rosenblum, Michael

Subject Terms: Statistics - Methodology, Statistics - Applications

Access URL: http://arxiv.org/abs/2011.15099

Evaluating Model Robustness and Stability to Dataset Shift

Authors: Subbaswamy, Adarsh, Adams, Roy, Saria, Suchi

Subject Terms: Computer Science - Machine Learning, Statistics - Machine Learning

Access URL: http://arxiv.org/abs/2010.15100

I-SPEC: An End-to-End Framework for Learning Transportable, Shift-Stable Models

Authors: Subbaswamy, Adarsh, Saria, Suchi

Subject Terms: Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/2002.08948

A Unifying Causal Framework for Analyzing Dataset Shift-stable Learning Algorithms

Authors: Subbaswamy, Adarsh, Chen, Bryant, Saria, Suchi

Source: Journal of Causal Inference, 10(1), 64-89

Subject Terms: Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/1905.11374

Tutorial: Safe and Reliable Machine Learning

Authors: Saria, Suchi, Subbaswamy, Adarsh

Subject Terms: Computer Science - Machine Learning, Computer Science - Artificial Intelligence

Access URL: http://arxiv.org/abs/1904.07204

Active Learning for Decision-Making from Imbalanced Observational Data

Authors: Sundin, Iiris, Schulam, Peter, Siivola, Eero, Vehtari, Aki, Saria, Suchi, Kaski, Samuel

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/1904.05268

Learning Models from Data with Measurement Error: Tackling Underreporting

Authors: Adams, Roy, Ji, Yuelong, Wang, Xiaobin, Saria, Suchi

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/1901.09060

Artificial Intelligence for Social Good

Authors: Hager, Gregory D., Drobnis, Ann, Fang, Fei, Ghani, Rayid, Greenwald, Amy, Lyons, Terah, Parkes, David C., Schultz, Jason, Saria, Suchi, Smith, Stephen F., Tambe, Milind

Subject Terms: Computer Science - Computers and Society

Access URL: http://arxiv.org/abs/1901.05406

Can You Trust This Prediction? Auditing Pointwise Reliability After Learning

Authors: Schulam, Peter, Saria, Suchi

Subject Terms: Statistics - Machine Learning, Computer Science - Machine Learning, Statistics - Methodology

Access URL: http://arxiv.org/abs/1901.00403

Preventing Failures Due to Dataset Shift: Learning Predictive Models That Transport

Authors: Subbaswamy, Adarsh, Schulam, Peter, Saria, Suchi

Subject Terms: Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Machine Learning

Access URL: http://arxiv.org/abs/1812.04597

Discretizing Logged Interaction Data Biases Learning for Decision-Making

Authors: Schulam, Peter, Saria, Suchi

Subject Terms: Statistics - Machine Learning, Computer Science - Artificial Intelligence, Computer Science - Machine Learning, Computer Science - Systems and Control

Access URL: http://arxiv.org/abs/1810.03025