ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2008.12988
  4. Cited By
Efficient Computation of Expectations under Spanning Tree Distributions
v1v2v3v4 (latest)

Efficient Computation of Expectations under Spanning Tree Distributions

Transactions of the Association for Computational Linguistics (TACL), 2020
29 August 2020
Ran Zmigrod
Tim Vieira
Robert Bamler
ArXiv (abs)PDFHTML

Papers citing "Efficient Computation of Expectations under Spanning Tree Distributions"

9 / 9 papers shown
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular Languages
What Languages are Easy to Language-Model? A Perspective from Learning Probabilistic Regular LanguagesAnnual Meeting of the Association for Computational Linguistics (ACL), 2024
Nadav Borenstein
Anej Svete
R. Chan
Josef Valvoda
Franz Nowak
Isabelle Augenstein
Eleanor Chodroff
Robert Bamler
952
22
0
06 Jun 2024
SynJax: Structured Probability Distributions for JAX
SynJax: Structured Probability Distributions for JAXConference on Empirical Methods in Natural Language Processing (EMNLP), 2023
Miloš Stanojević
Laurent Sartran
SyDa
365
4
0
07 Aug 2023
Differentiable Clustering with Perturbed Spanning Forests
Differentiable Clustering with Perturbed Spanning ForestsNeural Information Processing Systems (NeurIPS), 2023
Lawrence Stewart
Francis R. Bach
Felipe Llinares-López
Quentin Berthet
396
14
0
25 May 2023
The Architectural Bottleneck Principle
The Architectural Bottleneck PrincipleConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Tiago Pimentel
Josef Valvoda
Niklas Stoehr
Robert Bamler
261
5
0
11 Nov 2022
Unbiased and Efficient Sampling of Dependency Trees
Unbiased and Efficient Sampling of Dependency TreesConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Milovs Stanojević
278
3
0
25 May 2022
Measuring and Reducing Model Update Regression in Structured Prediction
  for NLP
Measuring and Reducing Model Update Regression in Structured Prediction for NLPNeural Information Processing Systems (NeurIPS), 2022
Deng Cai
Elman Mansimov
Yi-An Lai
Yixuan Su
Lei Shu
Yi Zhang
KELM
348
12
0
07 Feb 2022
Efficient Sampling of Dependency Structures
Efficient Sampling of Dependency Structures
Ran Zmigrod
Tim Vieira
Robert Bamler
225
0
0
14 Sep 2021
Higher-order Derivatives of Weighted Finite-state Machines
Higher-order Derivatives of Weighted Finite-state MachinesAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Ran Zmigrod
Tim Vieira
Robert Bamler
187
0
0
01 Jun 2021
Please Mind the Root: Decoding Arborescences for Dependency Parsing
Please Mind the Root: Decoding Arborescences for Dependency ParsingConference on Empirical Methods in Natural Language Processing (EMNLP), 2020
Ran Zmigrod
Tim Vieira
Robert Bamler
AI4CE
165
16
0
06 Oct 2020
1
Page 1 of 1