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. 2006.01293
  4. Cited By
From Sets to Multisets: Provable Variational Inference for Probabilistic
  Integer Submodular Models

From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models

International Conference on Machine Learning (ICML), 2020
1 June 2020
Aytunc Sahin
Yatao Bian
J. M. Buhmann
Andreas Krause
ArXiv (abs)PDFHTML

Papers citing "From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models"

5 / 5 papers shown
How Interpretable Are Interpretable Graph Neural Networks?
How Interpretable Are Interpretable Graph Neural Networks?
Yongqiang Chen
Yatao Bian
Bo Han
James Cheng
259
17
0
12 Jun 2024
Efficient Informed Proposals for Discrete Distributions via Newton's
  Series Approximation
Efficient Informed Proposals for Discrete Distributions via Newton's Series ApproximationInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Yue Xiang
Dongyao Zhu
Bowen Lei
Dongkuan Xu
Ruqi Zhang
154
6
0
27 Feb 2023
Learning Neural Set Functions Under the Optimal Subset Oracle
Learning Neural Set Functions Under the Optimal Subset OracleNeural Information Processing Systems (NeurIPS), 2022
Chinmay Pani
Qifeng Bai
Qinliang Su
Yingzhen Li
P. Zhao
Yatao Bian
BDL
460
11
0
03 Mar 2022
Randomized Algorithms for Monotone Submodular Function Maximization on
  the Integer Lattice
Randomized Algorithms for Monotone Submodular Function Maximization on the Integer Lattice
Alberto Schiabel
Vyacheslav Kungurtsev
Jakub Mareˇcek
148
3
0
19 Nov 2021
Energy-Based Learning for Cooperative Games, with Applications to
  Valuation Problems in Machine Learning
Energy-Based Learning for Cooperative Games, with Applications to Valuation Problems in Machine LearningInternational Conference on Learning Representations (ICLR), 2021
Yatao Bian
Yu Rong
Qifeng Bai
Jiaxiang Wu
Andreas Krause
Junzhou Huang
527
17
0
05 Jun 2021
1
Page 1 of 1