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. 1810.02221
  4. Cited By
Posterior contraction for empirical Bayesian approach to inverse
  problems under non-diagonal assumption
v1v2 (latest)

Posterior contraction for empirical Bayesian approach to inverse problems under non-diagonal assumption

4 October 2018
Junxiong Jia
Jigen Peng
Jinghuai Gao
ArXiv (abs)PDFHTML

Papers citing "Posterior contraction for empirical Bayesian approach to inverse problems under non-diagonal assumption"

1 / 1 papers shown
Fast Instrument Learning with Faster Rates
Fast Instrument Learning with Faster RatesNeural Information Processing Systems (NeurIPS), 2022
Ziyu Wang
Yuhao Zhou
Chao Ding
425
5
0
22 May 2022
1
Page 1 of 1