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Steve Yadlowsky
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2020 – today
- 2024
- [c11]Nilesh Tripuraneni
, Lee Richardson
Choosing a Proxy Metric from Past Experiments. KDD 2024: 5803-5812 - 2023
- [i12]Tiffany Tianhui Cai, Hongseok Namkoong, Steve Yadlowsky:
Diagnosing Model Performance Under Distribution Shift. CoRR abs/2303.02011 (2023) - [i11]Nilesh Tripuraneni, Lee Richardson, Alexander D'Amour, Jacopo Soriano, Steve Yadlowsky:
Choosing a Proxy Metric from Past Experiments. CoRR abs/2309.07893 (2023) - [i10]Steve Yadlowsky, Lyric Doshi, Nilesh Tripuraneni:
Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models. CoRR abs/2311.00871 (2023) - 2022
- [j2]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:
Underspecification Presents Challenges for Credibility in Modern Machine Learning. J. Mach. Learn. Res. 23: 226:1-226:61 (2022) - [c10]Yizhe Xu, Steve Yadlowsky:
Calibration Error for Heterogeneous Treatment Effects. AISTATS 2022: 9280-9303 - [c9]Thibault Sellam, Steve Yadlowsky, Ian Tenney, Jason Wei, Naomi Saphra
The MultiBERTs: BERT Reproductions for Robustness Analysis. ICLR 2022 - [i9]Eric Loreaux, Ke Yu, Jonas Kemp, Martin Seneviratne, Christina Chen, Subhrajit Roy, Ivan Protsyuk, Natalie Harris, Alexander D'Amour, Steve Yadlowsky, Mingjun Chen:
Boosting the interpretability of clinical risk scores with intervention predictions. CoRR abs/2207.02941 (2022) - 2021
- [c8]Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. MLHC 2021: 674-708 - [c7]Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein:
Counterfactual Invariance to Spurious Correlations in Text Classification. NeurIPS 2021: 16196-16208 - [c6]Steve Yadlowsky, Taedong Yun, Cory Y. McLean, Alexander D'Amour:
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression. NeurIPS 2021: 29517-29528 - [i8]Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine A. Heller:
Deep Cox Mixtures for Survival Regression. CoRR abs/2101.06536 (2021) - [i7]Steve Yadlowsky, Taedong Yun
SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression. CoRR abs/2103.12725 (2021) - [i6]Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein:
Counterfactual Invariance to Spurious Correlations: Why and How to Pass Stress Tests. CoRR abs/2106.00545 (2021) - [i5]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:
The MultiBERTs: BERT Reproductions for Robustness Analysis. CoRR abs/2106.16163 (2021) - 2020
- [j1]Sehj Kashyap
Measure what matters: Counts of hospitalized patients are a better metric for health system capacity planning for a reopening. J. Am. Medical Informatics Assoc. 27(7): 1026-1131 (2020) - [c5]Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky, Emma Brunskill:
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding. NeurIPS 2020 - [i4]Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky, Emma Brunskill:
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding. CoRR abs/2003.05623 (2020) - [i3]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
Underspecification Presents Challenges for Credibility in Modern Machine Learning. CoRR abs/2011.03395 (2020)
2010 – 2019
- 2019
- [c4]Steve Yadlowsky, Sanjay Basu, Lu Tian:
A Calibration Metric for Risk Scores with Survival Data. MLHC 2019: 424-450 - [i2]Steve Yadlowsky, Fabio Pellegrini, Federica Lionetto, Stefan Braune, Lu Tian:
Estimation and Validation of a Class of Conditional Average Treatment Effects Using Observational Data. CoRR abs/1912.06977 (2019) - 2018
- [c3]Tatsunori Hashimoto, Steve Yadlowsky, John C. Duchi:
Derivative Free Optimization Via Repeated Classification. AISTATS 2018: 2027-2036 - [i1]Tatsunori B. Hashimoto, Steve Yadlowsky, John C. Duchi:
Derivative free optimization via repeated classification. CoRR abs/1804.03761 (2018) - 2017
- [c2]Hongseok Namkoong, Aman Sinha, Steve Yadlowsky, John C. Duchi:
Adaptive Sampling Probabilities for Non-Smooth Optimization. ICML 2017: 2574-2583 - 2014
- [c1]Steve Yadlowsky, Preetum Nakkarin, Jingyan Wang, Rishi Sharma, Laurent El Ghaoui:
Iterative Hard Thresholding for Keyword Extraction from Large Text Corpora. ICMLA 2014: 588-593
Coauthor Index
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