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. 2206.11183
  4. Cited By
Active Learning with Safety Constraints

Active Learning with Safety Constraints

22 June 2022
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin G. Jamieson
ArXivPDFHTML

Papers citing "Active Learning with Safety Constraints"

11 / 11 papers shown
Title
Constrained Linear Thompson Sampling
Aditya Gangrade
Venkatesh Saligrama
34
0
0
03 Mar 2025
Learning to Explore with Lagrangians for Bandits under Unknown Linear
  Constraints
Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints
Udvas Das
Debabrota Basu
26
0
0
24 Oct 2024
Testing the Feasibility of Linear Programs with Bandit Feedback
Testing the Feasibility of Linear Programs with Bandit Feedback
Aditya Gangrade
Aditya Gopalan
Venkatesh Saligrama
Clayton Scott
26
1
0
21 Jun 2024
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in
  Tabular MDP
SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
Subhojyoti Mukherjee
Josiah P. Hanna
Robert Nowak
OffRL
51
0
0
04 Jun 2024
Pure Exploration for Constrained Best Mixed Arm Identification with a
  Fixed Budget
Pure Exploration for Constrained Best Mixed Arm Identification with a Fixed Budget
Dengwang Tang
Rahul Jain
Ashutosh Nayyar
Pierluigi Nuzzo
48
0
0
23 May 2024
Fair Active Learning in Low-Data Regimes
Fair Active Learning in Low-Data Regimes
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin Jamieson
FaML
24
1
0
13 Dec 2023
Incentivized Collaboration in Active Learning
Incentivized Collaboration in Active Learning
Lee Cohen
Han Shao
FedML
25
0
0
01 Nov 2023
Directional Optimism for Safe Linear Bandits
Directional Optimism for Safe Linear Bandits
Spencer Hutchinson
Berkay Turan
M. Alizadeh
18
8
0
29 Aug 2023
Multitask Learning with No Regret: from Improved Confidence Bounds to
  Active Learning
Multitask Learning with No Regret: from Improved Confidence Bounds to Active Learning
Pier Giuseppe Sessa
Pierre Laforgue
Nicolò Cesa-Bianchi
Andreas Krause
21
2
0
03 Aug 2023
Learning Safety Constraints from Demonstrations with Unknown Rewards
Learning Safety Constraints from Demonstrations with Unknown Rewards
David Lindner
Xin Chen
Sebastian Tschiatschek
Katja Hofmann
Andreas Krause
20
17
0
25 May 2023
Safe Linear Bandits over Unknown Polytopes
Safe Linear Bandits over Unknown Polytopes
Aditya Gangrade
Tianrui Chen
Venkatesh Saligrama
35
6
0
27 Sep 2022
1