Lucas Janson
14 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (32) π Conference Polyglot Β· Silver
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Grand Slam
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Keyword Collector
(72)
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Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(12)
Artificial Intelligence
(7)
Core AI
(7)
Optimization & Theory Β· Machine Learning
(7)
Learning Types
(5)
Reinforcement Learning
(4)
Methods
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Core Methods
(2)
Optimization
(2)
Optimization & Theory Β· Deep Learning
(2)
Robotics
(1)
Applications
(1)
Keywords
adaptive data collection
(2)
regret bound
(2)
online reinforcement learning
(2)
statistical inference
(1)
logistic regression
(1)
policy gradient
(1)
classification
(1)
hypothesis testing
(1)
system identification
(1)
batch learning
(1)
statistical evaluation
(1)
resource allocation
(1)
asymptotic variance
(1)
machine learning
(1)
linear quadratic regulator
(1)
optimal policy
(1)
hessian approximation
(1)
total variation
(1)
thompson sampling
(1)
asymptotic analysis
(1)
Papers
Foundations of Safe Online Reinforcement Learning in the Linear Quadratic Regulator: βT-Regret
L4DC 2026
A New Perspective on Shampoo's Preconditioner
ICLR 2025
Context in Public Health for Underserved Communities: A Bayesian Approach to Online Restless Bandits
AAAI 2025
Evaluating Index-based Treatment Allocation in Underresourced Communities
AAAI 2025
SOAP: Improving and Stabilizing Shampoo using Adam for Language Modeling
ICLR 2025
Optimal ablation for interpretability
NeurIPS 2024
Total Variation Floodgate for Variable Importance Inference in Classification
ICML 2024
A Simple and Efficient Sampling-based Algorithm for General Reachability Analysis
L4DC 2022
Exact Asymptotics for Linear Quadratic Adaptive Control
JMLR 2021
Statistical Inference with M-Estimators on Adaptively Collected Data
NeurIPS 2021
Cross-validation Confidence Intervals for Test Error
NeurIPS 2020
Inference for Batched Bandits
NeurIPS 2020
Risk-Constrained Reinforcement Learning with Percentile Risk Criteria
JMLR 2018
Safe Motion Planning in Unknown Environments: Optimality Benchmarks and Tractable Policies
RSS 2018