Mitchell Stern

35 papers A* 6B 1Journal 18Unranked 9
YearRankTypeTitle / Venue / Authors
2021 — conf
Dynamic Posted-Price Mechanisms for the Blockchain Transaction Fee Market (Invited Talk).
Tokenomics
Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, Mitchell Stern
2021 J jnl
Dynamic Posted-Price Mechanisms for the Blockchain Transaction-Fee Market.
CoRR
Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, Mitchell Stern
2021 B conf
Dynamic posted-price mechanisms for the blockchain transaction-fee market.
AFT
Matheus V. X. Ferreira, Daniel J. Moroz, David C. Parkes, Mitchell Stern
2020 — conf
An Empirical Study of Generation Order for Machine Translation.
EMNLP (1)
William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit
2020 — conf
Imitation Attacks and Defenses for Black-box Machine Translation Systems.
EMNLP (1)
Eric Wallace, Mitchell Stern, Dawn Song
2020 J jnl
Imitation Attacks and Defenses for Black-box Machine Translation Systems.
CoRR
Eric Wallace, Mitchell Stern, Dawn Song
2020 J jnl
Insertion-Deletion Transformer.
CoRR
Laura Ruis, Mitchell Stern, Julia Proskurnia, William Chan
2020 A* conf
Semantic Scaffolds for Pseudocode-to-Code Generation.
ACL
Ruiqi Zhong, Mitchell Stern, Dan Klein
2020 J jnl
Semantic Scaffolds for Pseudocode-to-Code Generation.
CoRR
Ruiqi Zhong, Mitchell Stern, Dan Klein
2020 — —
Structured Neural Models and Structured Decoding for Natural Language Processing.
Mitchell Stern
2020 J jnl
Towards End-to-End In-Image Neural Machine Translation.
CoRR
Elman Mansimov, Mitchell Stern, Mia Xu Chen, Orhan Firat, Jakob Uszkoreit, Puneet Jain
2019 J jnl
An Empirical Study of Generation Order for Machine Translation.
CoRR
William Chan, Mitchell Stern, Jamie Kiros, Jakob Uszkoreit
2019 A* conf
Insertion Transformer: Flexible Sequence Generation via Insertion Operations.
ICML
Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit
2019 J jnl
Insertion Transformer: Flexible Sequence Generation via Insertion Operations.
CoRR
Mitchell Stern, William Chan, Jamie Kiros, Jakob Uszkoreit
2019 J jnl
KERMIT: Generative Insertion-Based Modeling for Sequences.
CoRR
William Chan, Nikita Kitaev, Kelvin Guu, Mitchell Stern, Jakob Uszkoreit
2018 A* conf
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.
ICML
Noam Shazeer, Mitchell Stern
2018 J jnl
Adafactor: Adaptive Learning Rates with Sublinear Memory Cost.
CoRR
Noam Shazeer, Mitchell Stern
2018 A* conf
Blockwise Parallel Decoding for Deep Autoregressive Models.
NeurIPS
Mitchell Stern, Noam Shazeer, Jakob Uszkoreit
2018 J jnl
Blockwise Parallel Decoding for Deep Autoregressive Models.
CoRR
Mitchell Stern, Noam Shazeer, Jakob Uszkoreit
2018 A* conf
Stochastic Cubic Regularization for Fast Nonconvex Optimization.
NeurIPS
Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan
2018 — conf
What's Going On in Neural Constituency Parsers? An Analysis.
NAACL-HLT
David Gaddy, Mitchell Stern, Dan Klein
2018 J jnl
What's Going On in Neural Constituency Parsers? An Analysis.
CoRR
David Gaddy, Mitchell Stern, Dan Klein
2017 — conf
A Minimal Span-Based Neural Constituency Parser.
ACL (1)
Mitchell Stern, Jacob Andreas, Dan Klein
2017 J jnl
A Minimal Span-Based Neural Constituency Parser.
CoRR
Mitchell Stern, Jacob Andreas, Dan Klein
2017 — conf
Abstract Syntax Networks for Code Generation and Semantic Parsing.
ACL (1)
Maxim Rabinovich, Mitchell Stern, Dan Klein
2017 J jnl
Abstract Syntax Networks for Code Generation and Semantic Parsing.
CoRR
Maxim Rabinovich, Mitchell Stern, Dan Klein
2017 A* conf
Effective Inference for Generative Neural Parsing.
EMNLP
Mitchell Stern, Daniel Fried, Dan Klein
2017 J jnl
Effective Inference for Generative Neural Parsing.
CoRR
Mitchell Stern, Daniel Fried, Dan Klein
2017 — conf
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects.
ACL (2)
Daniel Fried, Mitchell Stern, Dan Klein
2017 J jnl
Improving Neural Parsing by Disentangling Model Combination and Reranking Effects.
CoRR
Daniel Fried, Mitchell Stern, Dan Klein
2017 — conf
Kernel Feature Selection via Conditional Covariance Minimization.
NIPS
Jianbo Chen, Mitchell Stern, Martin J. Wainwright, Michael I. Jordan
2017 J jnl
Kernel Feature Selection via Conditional Covariance Minimization.
CoRR
Jianbo Chen, Mitchell Stern, Martin J. Wainwright, Michael I. Jordan
2017 J jnl
Stochastic Cubic Regularization for Fast Nonconvex Optimization.
CoRR
Nilesh Tripuraneni, Mitchell Stern, Chi Jin, Jeffrey Regier, Michael I. Jordan
2017 — conf
The Marginal Value of Adaptive Gradient Methods in Machine Learning.
NIPS
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nati Srebro, Benjamin Recht
2017 J jnl
The Marginal Value of Adaptive Gradient Methods in Machine Learning.
CoRR
Ashia C. Wilson, Rebecca Roelofs, Mitchell Stern, Nathan Srebro, Benjamin Recht