ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2401.14544
  4. Cited By
Bayesian Optimization through Gaussian Cox Process Models for
  Spatio-temporal Data

Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data

25 January 2024
Yongsheng Mei
Mahdi Imani
Tian-Shing Lan
    GP
ArXivPDFHTML

Papers citing "Bayesian Optimization through Gaussian Cox Process Models for Spatio-temporal Data"

3 / 3 papers shown
Title
AccMER: Accelerating Multi-Agent Experience Replay with Cache
  Locality-aware Prioritization
AccMER: Accelerating Multi-Agent Experience Replay with Cache Locality-aware Prioritization
Kailash Gogineni
Yongsheng Mei
Peng Wei
Tian-Shing Lan
Guru Venkataramani
47
13
0
31 May 2023
MAC-PO: Multi-Agent Experience Replay via Collective Priority
  Optimization
MAC-PO: Multi-Agent Experience Replay via Collective Priority Optimization
Yongsheng Mei
Hanhan Zhou
Tian-Shing Lan
Guru Venkataramani
Peng Wei
66
38
0
21 Feb 2023
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes
Efficient Bayesian Inference of Sigmoidal Gaussian Cox Processes
Christian Donner
Manfred Opper
43
35
0
02 Aug 2018
1