Traversing Knowledge Graphs in Vector Space. - Kelvin Guu; John Miller 001; Percy Liang (EMNLP, 2015)

Globally Normalized Reader. - Jonathan Raiman; John Miller 001 (EMNLP, 2017)

Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Gregory Frederick Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Andrew Y. Ng; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (ICML, 2017)

Deep Voice 2: Multi-Speaker Neural Text-to-Speech. - Andrew Gibiansky; Sercan Ömer Arik; Gregory Frederick Diamos; John Miller 001; Kainan Peng; Wei Ping; Jonathan Raiman; Yanqi Zhou (NIPS, 2017)

Deep Voice: Real-time Neural Text-to-Speech. - Sercan Ömer Arik; Mike Chrzanowski; Adam Coates 002; Greg Diamos; Andrew Gibiansky; Yongguo Kang; Xian Li; John Miller 001; Jonathan Raiman; Shubho Sengupta; Mohammad Shoeybi (CoRR, 2017)

Deep Voice 3: 2000-Speaker Neural Text-to-Speech. - Wei Ping; Kainan Peng; Andrew Gibiansky; Sercan Ömer Arik; Ajay Kannan; Sharan Narang; Jonathan Raiman; John Miller 001 (CoRR, 2017)

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning. - Wei Ping; Kainan Peng; Andrew Gibiansky; Sercan Ömer Arik; Ajay Kannan; Sharan Narang; Jonathan Raiman; John Miller 001 (ICLR (Poster), 2018)

When Recurrent Models Don't Need To Be Recurrent. - John Miller 001; Moritz Hardt (CoRR, 2018)

The Social Cost of Strategic Classification. - Smitha Milli; John Miller 001; Anca D. Dragan; Moritz Hardt (FAT, 2019)

Stable Recurrent Models. - John Miller 001; Moritz Hardt (ICLR (Poster), 2019)

Model Similarity Mitigates Test Set Overuse. - Horia Mania; John Miller 001; Ludwig Schmidt; Moritz Hardt; Benjamin Recht (NeurIPS, 2019)

A Meta-Analysis of Overfitting in Machine Learning. - Rebecca Roelofs; Vaishaal Shankar; Benjamin Recht; Sara Fridovich-Keil; Moritz Hardt; John Miller 001; Ludwig Schmidt (NeurIPS, 2019)

Test-Time Training for Out-of-Distribution Generalization. - Yu Sun 020; Xiaolong Wang 004; Zhuang Liu 003; John Miller 001; Alexei A. Efros; Moritz Hardt (CoRR, 2019)

Strategic Adaptation to Classifiers: A Causal Perspective. - John Miller 001; Smitha Milli; Moritz Hardt (CoRR, 2019)

The Effect of Natural Distribution Shift on Question Answering Models. - John Miller 001; Karl Krauth; Benjamin Recht; Ludwig Schmidt (ICML, 2020)

Strategic Classification is Causal Modeling in Disguise. - John Miller 001; Smitha Milli; Moritz Hardt (ICML, 2020)

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts. - Yu Sun 020; Xiaolong Wang 004; Zhuang Liu 003; John Miller 001; Alexei A. Efros; Moritz Hardt (ICML, 2020)

Outside the Echo Chamber: Optimizing the Performative Risk. - John Miller 001; Juan C. Perdomo; Tijana Zrnic (ICML, 2021)

Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization. - John Miller 001; Rohan Taori; Aditi Raghunathan; Shiori Sagawa; Pang Wei Koh; Vaishaal Shankar; Percy Liang; Yair Carmon; Ludwig Schmidt (ICML, 2021)

Retiring Adult: New Datasets for Fair Machine Learning. - Frances Ding; Moritz Hardt; John Miller 001; Ludwig Schmidt (NeurIPS, 2021)

Adversarial Scrutiny of Evidentiary Statistical Software. - Rediet Abebe; Moritz Hardt; Angela Jin; John Miller 001; Ludwig Schmidt; Rebecca Wexler (FAccT, 2022)

Validity Challenges in Machine Learning Benchmarks - John Miller 001 (2022)

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models. - Aarohi Srivastava; Abhinav Rastogi; Abhishek Rao; Abu Awal Md Shoeb; Abubakar Abid; Adam Fisch; Adam R. Brown; Adam Santoro; Aditya Gupta; Adrià Garriga-Alonso; Agnieszka Kluska; Aitor Lewkowycz; et al. (Trans. Mach. Learn. Res., 2023)