Lucas Janson

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Harvard University ∙ Stanford University

Cross-validation Confidence Intervals for Test Error

This work develops central limit theorems for cross-validation and consi...
07/24/2020 ∙ by Pierre Bayle, et al. ∙ 0 ∙ share

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

Goodness-of-fit (GoF) testing is ubiquitous in statistics, with direct t...
07/20/2020 ∙ by Rina Foygel Barber, et al. ∙ 0 ∙ share

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Floodgate: inference for model-free variable importance

Many modern applications seek to understand the relationship between an ...
07/02/2020 ∙ by Lu Zhang, et al. ∙ 0 ∙ share

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Fast and Powerful Conditional Randomization Testing via Distillation

In relating a response variable Y to covariates (Z,X), a key question is...
06/06/2020 ∙ by Molei Liu, et al. ∙ 0 ∙ share

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Inference for Batched Bandits

As bandit algorithms are increasingly utilized in scientific studies, th...
02/08/2020 ∙ by Kelly W. Zhang, et al. ∙ 14 ∙ share

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Map-Predictive Motion Planning in Unknown Environments

Algorithms for motion planning in unknown environments are generally lim...
10/17/2019 ∙ by Amine Elhafsi, et al. ∙ 0 ∙ share

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Revisiting the Asymptotic Optimality of RRT*

RRT* is one of the most widely used sampling-based algorithms for asympt...
09/20/2019 ∙ by Kiril Solovey, et al. ∙ 0 ∙ share

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Relaxing the Assumptions of Knockoffs by Conditioning

The recent paper Candès et al. (2018) introduced model-X knockoffs, a me...
03/07/2019 ∙ by Dongming Huang, et al. ∙ 0 ∙ share

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Metropolized Knockoff Sampling

Model-X knockoffs is a wrapper that transforms essentially any feature i...
03/01/2019 ∙ by Stephen Bates, et al. ∙ 0 ∙ share

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Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies

This paper addresses the problem of planning a safe (i.e., collision-fre...
04/16/2018 ∙ by Lucas Janson, et al. ∙ 0 ∙ share

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Risk-Constrained Reinforcement Learning with Percentile Risk Criteria

In many sequential decision-making problems one is interested in minimiz...
12/05/2015 ∙ by Yinlam Chow, et al. ∙ 0 ∙ share

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Lucas Janson

Featured Co-authors

Marco Pavone

Lu Zhang

Mohammad Ghavamzadeh

Lester Mackey

Wenshuo Wang

Yinlam Chow

Rina Foygel Barber

Emilio Frazzoli

Kiril Solovey

Susan A. Murphy

Boris Ivanovic

Cross-validation Confidence Intervals for Test Error

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

Floodgate: inference for model-free variable importance

Fast and Powerful Conditional Randomization Testing via Distillation

Inference for Batched Bandits

Map-Predictive Motion Planning in Unknown Environments

Revisiting the Asymptotic Optimality of RRT*

Relaxing the Assumptions of Knockoffs by Conditioning

Metropolized Knockoff Sampling

Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies

Risk-Constrained Reinforcement Learning with Percentile Risk Criteria