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Nearly Optimal Algorithms for Level Set Estimation

Nearly Optimal Algorithms for Level Set Estimation

2 November 2021
Blake Mason
Romain Camilleri
Subhojyoti Mukherjee
Kevin G. Jamieson
Robert D. Nowak
Lalit P. Jain
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Papers citing "Nearly Optimal Algorithms for Level Set Estimation"

18 / 18 papers shown
Title
An $(ε,δ)$-accurate level set estimation with a stopping criterion
An (ε,δ)(ε,δ)(ε,δ)-accurate level set estimation with a stopping criterion
Hideaki Ishibashi
Kota Matsui
Kentaro Kutsukake
H. Hino
75
0
0
26 Mar 2025
Robust Transfer Learning for Active Level Set Estimation with Locally
  Adaptive Gaussian Process Prior
Robust Transfer Learning for Active Level Set Estimation with Locally Adaptive Gaussian Process Prior
Giang Ngo
Dang Nguyen
Sunil Gupta
18
0
0
08 Oct 2024
Active Learning for Level Set Estimation Using Randomized Straddle
  Algorithms
Active Learning for Level Set Estimation Using Randomized Straddle Algorithms
Yu Inatsu
Shion Takeno
Kentaro Kutsukake
Ichiro Takeuchi
34
3
0
06 Aug 2024
Constructing Level Sets Using Smoothed Approximate Bayesian Computation
Constructing Level Sets Using Smoothed Approximate Bayesian Computation
David Edwards
J. Bessac
Franck Cappello
Scotland Leman
25
0
0
08 Jul 2024
Experimental Design for Active Transductive Inference in Large Language
  Models
Experimental Design for Active Transductive Inference in Large Language Models
Subhojyoti Mukherjee
Anusha Lalitha
Aniket Deshmukh
Ge Liu
Yifei Ma
B. Kveton
LRM
43
1
0
12 Apr 2024
Efficient Low-Rank Matrix Estimation, Experimental Design, and
  Arm-Set-Dependent Low-Rank Bandits
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
Kyoungseok Jang
Chicheng Zhang
Kwang-Sung Jun
27
2
0
17 Feb 2024
Multi-task Representation Learning for Pure Exploration in Bilinear
  Bandits
Multi-task Representation Learning for Pure Exploration in Bilinear Bandits
Subhojyoti Mukherjee
Qiaomin Xie
Josiah P. Hanna
Robert D. Nowak
53
6
0
01 Nov 2023
A Path to Simpler Models Starts With Noise
A Path to Simpler Models Starts With Noise
Lesia Semenova
Harry Chen
Ronald E. Parr
Cynthia Rudin
35
15
0
30 Oct 2023
Efficient and Interpretable Bandit Algorithms
Efficient and Interpretable Bandit Algorithms
Subhojyoti Mukherjee
Ruihao Zhu
B. Kveton
FAtt
23
2
0
23 Oct 2023
Experimental Designs for Heteroskedastic Variance
Experimental Designs for Heteroskedastic Variance
Justin Weltz
Tanner Fiez
Alex Volfovsky
Eric B. Laber
Blake Mason
Houssam Nassif
Lalit P. Jain
24
3
0
06 Oct 2023
SPEED: Experimental Design for Policy Evaluation in Linear
  Heteroscedastic Bandits
SPEED: Experimental Design for Policy Evaluation in Linear Heteroscedastic Bandits
Subhojyoti Mukherjee
Qiaomin Xie
Josiah P. Hanna
R. Nowak
OffRL
47
5
0
29 Jan 2023
PopArt: Efficient Sparse Regression and Experimental Design for Optimal
  Sparse Linear Bandits
PopArt: Efficient Sparse Regression and Experimental Design for Optimal Sparse Linear Bandits
Kyoungseok Jang
Chicheng Zhang
Kwang-Sung Jun
36
13
0
25 Oct 2022
Active Learning with Safety Constraints
Active Learning with Safety Constraints
Romain Camilleri
Andrew Wagenmaker
Jamie Morgenstern
Lalit P. Jain
Kevin G. Jamieson
23
12
0
22 Jun 2022
Rashomon Capacity: A Metric for Predictive Multiplicity in
  Classification
Rashomon Capacity: A Metric for Predictive Multiplicity in Classification
Hsiang Hsu
Flavio du Pin Calmon
25
38
0
02 Jun 2022
Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits
Safety Aware Changepoint Detection for Piecewise i.i.d. Bandits
Subhojyoti Mukherjee
16
1
0
27 May 2022
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling
ReVar: Strengthening Policy Evaluation via Reduced Variance Sampling
Subhojyoti Mukherjee
Josiah P. Hanna
Robert D. Nowak
OffRL
16
12
0
09 Mar 2022
High Dimensional Level Set Estimation with Bayesian Neural Network
High Dimensional Level Set Estimation with Bayesian Neural Network
Huong Ha
Sunil R. Gupta
Santu Rana
Svetha Venkatesh
25
9
0
17 Dec 2020
Truncated Variance Reduction: A Unified Approach to Bayesian
  Optimization and Level-Set Estimation
Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation
Ilija Bogunovic
Jonathan Scarlett
Andreas Krause
V. Cevher
69
89
0
24 Oct 2016
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