Improving Neural Parsing by Disentangling Model Combination and Reranking Effects. - Daniel Fried; Mitchell Stern; Dan Klein 001 (ACL (2), 2017)

Abstract Syntax Networks for Code Generation and Semantic Parsing. - Maxim Rabinovich; Mitchell Stern; Dan Klein 001 (ACL (1), 2017)

A Minimal Span-Based Neural Constituency Parser. - Mitchell Stern; Jacob Andreas; Dan Klein 001 (ACL (1), 2017)

Effective Inference for Generative Neural Parsing. - Mitchell Stern; Daniel Fried; Dan Klein 001 (EMNLP, 2017)

Kernel Feature Selection via Conditional Covariance Minimization. - Jianbo Chen; Mitchell Stern; Martin J. Wainwright; Michael I. Jordan (NIPS, 2017)

The Marginal Value of Adaptive Gradient Methods in Machine Learning. - Ashia C. Wilson; Rebecca Roelofs; Mitchell Stern; Nati Srebro; Benjamin Recht (NIPS, 2017)

Adafactor: Adaptive Learning Rates with Sublinear Memory Cost. - Noam Shazeer; Mitchell Stern (ICML, 2018)

What's Going On in Neural Constituency Parsers? An Analysis. - David Gaddy; Mitchell Stern; Dan Klein 001 (NAACL-HLT, 2018)

Blockwise Parallel Decoding for Deep Autoregressive Models. - Mitchell Stern; Noam Shazeer; Jakob Uszkoreit (NeurIPS, 2018)

Stochastic Cubic Regularization for Fast Nonconvex Optimization. - Nilesh Tripuraneni; Mitchell Stern; Chi Jin 001; Jeffrey Regier; Michael I. Jordan (NeurIPS, 2018)

Insertion Transformer: Flexible Sequence Generation via Insertion Operations. - Mitchell Stern; William Chan; Jamie Kiros; Jakob Uszkoreit (ICML, 2019)

KERMIT: Generative Insertion-Based Modeling for Sequences. - William Chan; Nikita Kitaev; Kelvin Guu; Mitchell Stern; Jakob Uszkoreit (CoRR, 2019)

Semantic Scaffolds for Pseudocode-to-Code Generation. - Ruiqi Zhong; Mitchell Stern; Dan Klein 001 (ACL, 2020)

An Empirical Study of Generation Order for Machine Translation. - William Chan; Mitchell Stern; Jamie Kiros; Jakob Uszkoreit (EMNLP (1), 2020)

Imitation Attacks and Defenses for Black-box Machine Translation Systems. - Eric Wallace; Mitchell Stern; Dawn Song (EMNLP (1), 2020)

Insertion-Deletion Transformer. - Laura Ruis; Mitchell Stern; Julia Proskurnia; William Chan (CoRR, 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)

Structured Neural Models and Structured Decoding for Natural Language Processing. - Mitchell Stern (2020)

Dynamic posted-price mechanisms for the blockchain transaction-fee market. - Matheus V. X. Ferreira; Daniel J. Moroz; David C. Parkes; Mitchell Stern (AFT, 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 (Tokenomics, 2021)