John Miller

According to our database, John Miller authored at least 22 papers between 2015 and 2022.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2022

Validity Challenges in Machine Learning Benchmarks

John Miller

PhD thesis, 2022

Adversarial Scrutiny of Evidentiary Statistical Software.

Rediet Abebe, Moritz Hardt, Angela Jin, John Miller, Ludwig Schmidt, Rebecca Wexler

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

2021

Retiring Adult: New Datasets for Fair Machine Learning.

Frances Ding, Moritz Hardt, John Miller, Ludwig Schmidt

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Accuracy on the Line: on the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization.

John Miller, Rohan Taori, Aditi Raghunathan, Shiori Sagawa, Pang Wei Koh, Vaishaal Shankar, Percy Liang, Yair Carmon, Ludwig Schmidt

Proceedings of the 38th International Conference on Machine Learning, 2021

Outside the Echo Chamber: Optimizing the Performative Risk.

John Miller, Juan C. Perdomo, Tijana Zrnic

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts.

Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt

Proceedings of the 37th International Conference on Machine Learning, 2020

Strategic Classification is Causal Modeling in Disguise.

John Miller, Smitha Milli, Moritz Hardt

Proceedings of the 37th International Conference on Machine Learning, 2020

The Effect of Natural Distribution Shift on Question Answering Models.

John Miller, Karl Krauth, Benjamin Recht, Ludwig Schmidt

Proceedings of the 37th International Conference on Machine Learning, 2020

2019

Strategic Adaptation to Classifiers: A Causal Perspective.

John Miller, Smitha Milli, Moritz Hardt

CoRR, 2019

Test-Time Training for Out-of-Distribution Generalization.

Yu Sun, Xiaolong Wang, Zhuang Liu, John Miller, Alexei A. Efros, Moritz Hardt

CoRR, 2019

A Meta-Analysis of Overfitting in Machine Learning.

Rebecca Roelofs, Vaishaal Shankar, Benjamin Recht, Sara Fridovich-Keil, Moritz Hardt, John Miller, Ludwig Schmidt

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Model Similarity Mitigates Test Set Overuse.

Horia Mania, John Miller, Ludwig Schmidt, Moritz Hardt, Benjamin Recht

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stable Recurrent Models.

John Miller, Moritz Hardt

Proceedings of the 7th International Conference on Learning Representations, 2019

The Social Cost of Strategic Classification.

Smitha Milli, John Miller, Anca D. Dragan, Moritz Hardt

Proceedings of the Conference on Fairness, Accountability, and Transparency, 2019

2018

When Recurrent Models Don't Need To Be Recurrent.

John Miller, Moritz Hardt

CoRR, 2018

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

Proceedings of the 6th International Conference on Learning Representations, 2018

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

CoRR, 2017

Deep Voice: Real-time Neural Text-to-Speech.

Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Greg Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi

CoRR, 2017

Deep Voice 2: Multi-Speaker Neural Text-to-Speech.

Andrew Gibiansky, Sercan Ömer Arik, Gregory Frederick Diamos, John Miller, Kainan Peng, Wei Ping, Jonathan Raiman, Yanqi Zhou

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Voice: Real-time Neural Text-to-Speech.

Sercan Ömer Arik, Mike Chrzanowski, Adam Coates, Gregory Frederick Diamos, Andrew Gibiansky, Yongguo Kang, Xian Li, John Miller, Andrew Y. Ng, Jonathan Raiman, Shubho Sengupta, Mohammad Shoeybi

Proceedings of the 34th International Conference on Machine Learning, 2017

Globally Normalized Reader.

Jonathan Raiman, John Miller

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2015

Traversing Knowledge Graphs in Vector Space.

Kelvin Guu, John Miller, Percy Liang

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015