Steve Yadlowsky

26 papers A* 6A 2C 1Journal 15Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Diagnosing Model Performance Under Distribution Shift.
Oper. Res.
Tiffany (tianhui) Cai, Hongseok Namkoong, Steve Yadlowsky
2024 A* conf
Choosing a Proxy Metric from Past Experiments.
KDD
Nilesh Tripuraneni, Lee Richardson, Alexander D'Amour, Jacopo Soriano, Steve Yadlowsky
2023 J jnl
Choosing a Proxy Metric from Past Experiments.
CoRR
Nilesh Tripuraneni, Lee Richardson, Alexander D'Amour, Jacopo Soriano, Steve Yadlowsky
2023 J jnl
Diagnosing Model Performance Under Distribution Shift.
CoRR
Tiffany Tianhui Cai, Hongseok Namkoong, Steve Yadlowsky
2023 J jnl
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models.
CoRR
Steve Yadlowsky, Lyric Doshi, Nilesh Tripuraneni
2022 J jnl
Boosting the interpretability of clinical risk scores with intervention predictions.
CoRR
Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Mingjun Chen
2022 A conf
Calibration Error for Heterogeneous Treatment Effects.
AISTATS
Yizhe Xu, Steve Yadlowsky
2022 A* conf
The MultiBERTs: BERT Reproductions for Robustness Analysis.
ICLR
Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Raluca Turc, Jacob Eisenstein, Dipanjan Das, Ellie Pavlick
2022 J jnl
Underspecification Presents Challenges for Credibility in Modern Machine Learning.
J. Mach. Learn. Res.
Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
2021 A* conf
Counterfactual Invariance to Spurious Correlations in Text Classification.
NeurIPS
Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein
2021 J jnl
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests.
CoRR
Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein
2021 — conf
Deep Cox Mixtures for Survival Regression.
MLHC
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
2021 J jnl
Deep Cox Mixtures for Survival Regression.
CoRR
Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller
2021 A* conf
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression.
NeurIPS
Steve Yadlowsky, Taedong Yun, Cory Y. McLean, Alexander D'Amour
2021 J jnl
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression.
CoRR
Steve Yadlowsky, Taedong Yun, Cory Y. McLean, Alexander D'Amour
2021 J jnl
The MultiBERTs: BERT Reproductions for Robustness Analysis.
CoRR
Thibault Sellam, Steve Yadlowsky, Jason Wei, Naomi Saphra, Alexander D'Amour, Tal Linzen, Jasmijn Bastings, Iulia Turc, Jacob Eisenstein, Dipanjan Das, Ian Tenney, Ellie Pavlick
2020 J jnl
Measure what matters: Counts of hospitalized patients are a better metric for health system capacity planning for a reopening.
J. Am. Medical Informatics Assoc.
Sehj Kashyap, Saurabh Gombar, Steve Yadlowsky, Alison Callahan, Jason A. Fries, Benjamin A. Pinsky, Nigam H. Shah
2020 A* conf
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding.
NeurIPS
Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky, Emma Brunskill
2020 J jnl
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding.
CoRR
Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky, Emma Brunskill
2020 J jnl
Underspecification Presents Challenges for Credibility in Modern Machine Learning.
CoRR
Alexander D'Amour, Katherine A. Heller, Dan Moldovan, Ben Adlam, Babak Alipanahi, Alex Beutel, Christina Chen, Jonathan Deaton, Jacob Eisenstein, Matthew D. Hoffman, Farhad Hormozdiari, Neil Houlsby, Shaobo Hou, Ghassen Jerfel, Alan Karthikesalingam, Mario Lucic, Yi-An Ma, Cory Y. McLean, Diana Mincu, Akinori Mitani, Andrea Montanari, Zachary Nado, Vivek Natarajan, Christopher Nielson, Thomas F. Osborne, Rajiv Raman, Kim Ramasamy, Rory Sayres, Jessica Schrouff, Martin Seneviratne, Shannon Sequeira, Harini Suresh, Victor Veitch, Max Vladymyrov, Xuezhi Wang, Kellie Webster, Steve Yadlowsky, Taedong Yun, Xiaohua Zhai, D. Sculley
2019 — conf
A Calibration Metric for Risk Scores with Survival Data.
MLHC
Steve Yadlowsky, Sanjay Basu, Lu Tian
2019 J jnl
Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data.
CoRR
Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto, Stefan Braune, Lu Tian
2018 A conf
Derivative Free Optimization Via Repeated Classification.
AISTATS
Tatsunori Hashimoto, Steve Yadlowsky, John C. Duchi
2018 J jnl
Derivative free optimization via repeated classification.
CoRR
Tatsunori B. Hashimoto, Steve Yadlowsky, John C. Duchi
2017 A* conf
Adaptive Sampling Probabilities for Non-Smooth Optimization.
ICML
Hongseok Namkoong, Aman Sinha, Steve Yadlowsky, John C. Duchi
2014 C conf
Iterative Hard Thresholding for Keyword Extraction from Large Text Corpora.
ICMLA
Steve Yadlowsky, Preetum Nakkarin, Jingyan Wang, Rishi Sharma, Laurent El Ghaoui