Mitchell Stern

According to our database, Mitchell Stern authored at least 20 papers between 2017 and 2021.

Collaborative distances:

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

2021

Dynamic Posted-Price Mechanisms for the Blockchain Transaction Fee Market (Invited Talk).

Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, Mitchell Stern

Proceedings of the 3rd International Conference on Blockchain Economics, 2021

Dynamic posted-price mechanisms for the blockchain transaction-fee market.

Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, Mitchell Stern

Proceedings of the AFT '21: 3rd ACM Conference on Advances in Financial Technologies, Arlington, Virginia, USA, September 26, 2021

2020

Structured Neural Models and Structured Decoding for Natural Language Processing.

Mitchell Stern

PhD thesis, 2020

Towards End-to-End In-Image Neural Machine Translation.

Elman Mansimov, Mitchell Stern, Mia Xu Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain

CoRR, 2020

Insertion-Deletion Transformer.

Laura Ruis, Mitchell Stern, Julia Proskurnia, William Chan

CoRR, 2020

Imitation Attacks and Defenses for Black-box Machine Translation Systems.

Eric Wallace, Mitchell Stern, Dawn Song

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

An Empirical Study of Generation Order for Machine Translation.

William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Semantic Scaffolds for Pseudocode-to-Code Generation.

Ruiqi Zhong, Mitchell Stern, Dan Klein

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

KERMIT: Generative Insertion-Based Modeling for Sequences.

William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit

CoRR, 2019

Insertion Transformer: Flexible Sequence Generation via Insertion Operations.

Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Stochastic Cubic Regularization for Fast Nonconvex Optimization.

Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Blockwise Parallel Decoding for Deep Autoregressive Models.

Mitchell Stern, Noam Shazeer, Jakob Uszkoreit

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

What's Going On in Neural Constituency Parsers? An Analysis.

David Gaddy, Mitchell Stern, Dan Klein

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.

Noam Shazeer, Mitchell Stern

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

The Marginal Value of Adaptive Gradient Methods in Machine Learning.

Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht

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

Kernel Feature Selection via Conditional Covariance Minimization.

Jianbo Chen, Mitchell Stern, Martin J. Wainwright, Michael I. Jordan

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

Effective Inference for Generative Neural Parsing.

Mitchell Stern, Daniel Fried, Dan Klein

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

A Minimal Span-Based Neural Constituency Parser.

Mitchell Stern, Jacob Andreas, Dan Klein

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Abstract Syntax Networks for Code Generation and Semantic Parsing.

Maxim Rabinovich, Mitchell Stern, Dan Klein

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

Improving Neural Parsing by Disentangling Model Combination and Reranking Effects.

Daniel Fried, Mitchell Stern, Dan Klein

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017