Lucas Janson

Lucas Janson

Harvard University

H-index: 26

North America-United States

About Lucas Janson

Lucas Janson, With an exceptional h-index of 26 and a recent h-index of 26 (since 2020), a distinguished researcher at Harvard University, specializes in the field of High-Dimensional Inference, Statistical Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

Controlled Discovery and Localization of Signals via Bayesian Linear Programming

Evaluating the Effectiveness of Index-Based Treatment Allocation

A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health

Rate-matching the regret lower-bound in the linear quadratic regulator with unknown dynamics

Total Variation Floodgate for Variable Importance Inference in Classification

Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Chenguang Dai, Buyu Lin, Xin Xing, and Jun S. Liu

Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications

Randomization tests for adaptively collected data

Lucas Janson Information

University

Position

Assistant Professor Department of Statistics

Citations(all)

3314

Citations(since 2020)

2814

Cited By

1442

hIndex(all)

26

hIndex(since 2020)

26

i10Index(all)

33

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Lucas Janson Skills & Research Interests

High-Dimensional Inference

Statistical Machine Learning

Top articles of Lucas Janson

Controlled Discovery and Localization of Signals via Bayesian Linear Programming

arXiv preprint arXiv:2203.17208

2022/3/31

Asher Spector
Asher Spector

H-Index: 0

Lucas Janson
Lucas Janson

H-Index: 16

Evaluating the Effectiveness of Index-Based Treatment Allocation

arXiv preprint arXiv:2402.11771

2024/2/19

A Bayesian Approach to Online Learning for Contextual Restless Bandits with Applications to Public Health

arXiv preprint arXiv:2402.04933

2024/2/7

Rate-matching the regret lower-bound in the linear quadratic regulator with unknown dynamics

2023/12/13

Lucas Janson
Lucas Janson

H-Index: 16

Total Variation Floodgate for Variable Importance Inference in Classification

arXiv preprint arXiv:2309.04002

2023/9/7

Discussion of “A Scale-Free Approach for False Discovery Rate Control in Generalized Linear Models” by Chenguang Dai, Buyu Lin, Xin Xing, and Jun S. Liu

Journal of the American Statistical Association

2023/7/3

Lucas Janson
Lucas Janson

H-Index: 16

Estimating the convex hull of the image of a set with smooth boundary: error bounds and applications

arXiv preprint arXiv:2302.13970

2023/2/27

Randomization tests for adaptively collected data

arXiv preprint arXiv:2301.05365

2023/1/13

Lucas Janson
Lucas Janson

H-Index: 16

A simple and efficient sampling-based algorithm for general reachability analysis

2022/5/11

Tactile Sensing and its Role in Learning and Deploying Robotic Grasping Controllers

2022/5/2

Statistical inference after adaptive sampling for longitudinal data

arXiv preprint arXiv:2202.07098

2022/2/14

Lucas Janson
Lucas Janson

H-Index: 16

Powerful knockoffs via minimizing reconstructability

The Annals of Statistics

2022/2

Asher Spector
Asher Spector

H-Index: 0

Lucas Janson
Lucas Janson

H-Index: 16

Statistical inference after adaptive sampling in non-markovian environments

arXiv preprint arXiv:2202.07098

2022

Lucas Janson
Lucas Janson

H-Index: 16

Powerful Partial Conjunction Hypothesis Testing via Conditioning

arXiv preprint arXiv:2212.11304

2022/12/21

Lu Zhang
Lu Zhang

H-Index: 1

Lucas Janson
Lucas Janson

H-Index: 16

Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling

The Annals of Statistics

2022/10

Rina Foygel Barber
Rina Foygel Barber

H-Index: 28

Lucas Janson
Lucas Janson

H-Index: 16

A high-dimensional power analysis of the conditional randomization test and knockoffs

Biometrika

2022/9/1

Wenshuo Wang
Wenshuo Wang

H-Index: 1

Lucas Janson
Lucas Janson

H-Index: 16

Using machine learning to test causal hypotheses in conjoint analysis

Political Analysis

2022/8/24

Kosuke Imai
Kosuke Imai

H-Index: 48

Lucas Janson
Lucas Janson

H-Index: 16

Surrogate-based global sensitivity analysis with statistical guarantees via floodgate

arXiv preprint arXiv:2208.05885

2022/8/11

Lucas Janson
Lucas Janson

H-Index: 16

Fast and powerful conditional randomization testing via distillation

Biometrika

2022/6/1

Lucas Janson
Lucas Janson

H-Index: 16

Aaditya Ramdas
Aaditya Ramdas

H-Index: 26

A statistical model for describing and simulating microbial community profiles

PLoS computational biology

2021/9/13

See List of Professors in Lucas Janson University(Harvard University)

Co-Authors

academic-engine