Yadlowsky, Steve

14 publications

NeurIPSW 2024 Transformers Can Learn Meta-Skills for Task Generalization in In-Context Learning Ying Fan, Steve Yadlowsky, Dimitris Papailiopoulos, Kangwook Lee

NeurIPSW 2023 Can Transformer Models Generalize via In-Context Learning Beyond Pretraining Data? Steve Yadlowsky, Lyric Doshi, Nilesh Tripuraneni

NeurIPSW 2023 Can Transformers In-Context Learn Task Mixtures? Nilesh Tripuraneni, Lyric Doshi, Steve Yadlowsky

AISTATS 2022 Calibration Error for Heterogeneous Treatment Effects Yizhe Xu, Steve Yadlowsky

NeurIPSW 2022 Tailored Overlap for Learning Under Distribution Shift David Bruns-Smith, Alexander D'Amour, Avi Feller, Steve Yadlowsky

ICLR 2022 The MultiBERTs: BERT Reproductions for Robustness Analysis 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

JMLR 2022 Underspecification Presents Challenges for Credibility in Modern Machine Learning Alexander D'Amour, Katherine 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, Yian Ma, Cory 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

NeurIPS 2021 Counterfactual Invariance to Spurious Correlations in Text Classification Victor Veitch, Alexander D'Amour, Steve Yadlowsky, Jacob Eisenstein

MLHC 2021 Deep Cox Mixtures for Survival Regression Chirag Nagpal, Steve Yadlowsky, Negar Rostamzadeh, Katherine Heller

NeurIPS 2021 SLOE: A Faster Method for Statistical Inference in High-Dimensional Logistic Regression Steve Yadlowsky, Taedong Yun, Cory Y McLean, Alexander D'Amour

NeurIPS 2020 Off-Policy Policy Evaluation for Sequential Decisions Under Unobserved Confounding Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky, Emma Brunskill

MLHC 2019 A Calibration Metric for Risk Scores with Survival Data Steve Yadlowsky, Sanjay Basu, Lu Tian

AISTATS 2018 Derivative Free Optimization via Repeated Classification Tatsunori Hashimoto, Steve Yadlowsky, John C. Duchi

ICML 2017 Adaptive Sampling Probabilities for Non-Smooth Optimization Hongseok Namkoong, Aman Sinha, Steve Yadlowsky, John C. Duchi