Nicolas Christianson
8 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (19) π£ Hot Topic Early Bird π Keyword Champion (2)
π₯
Unstoppable Β· Bronze
Top co-authors
Research topics
Machine Learning
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Application Areas
(4)
Optimization & Theory
(4)
Artificial Intelligence
(3)
Core AI
(3)
Learning Types
(2)
Computer Science
(1)
Deep Learning
(1)
Reinforcement Learning
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Foundations
(1)
Keywords
online algorithm
(3)
input convex neural network
(2)
ski rental
(2)
competitive ratio
(2)
ground truth
(1)
phase transition
(1)
online optimization
(1)
competitive analysis
(1)
algorithm design
(1)
end-to-end learning
(1)
convex function
(1)
switching cost
(1)
metrical task system
(1)
robustness-consistency tradeoff
(1)
worst-case guarantee
(1)
learning-augmented algorithm
(1)
distribution shift
(1)
electric vehicle
(1)
electric vehicle charging
(1)
convex optimization
(1)
Papers
Improving EV Aggregate Flexibility with End-to-End Learning
L4DC 2026
Fast and Reliable $N - k$ Contingency Screening with Input-Convex Neural Networks
L4DC 2025
Chasing Convex Functions with Long-term Constraints
ICML 2024
Online Algorithms with Uncertainty-Quantified Predictions
ICML 2024
Risk-Sensitive Online Algorithms (Extended Abstract)
COLT 2024
Optimal robustness-consistency tradeoffs for learning-augmented metrical task systems
AISTATS 2023
SustainGym: Reinforcement Learning Environments for Sustainable Energy Systems
NeurIPS 2023
Chasing Convex Bodies and Functions with Black-Box Advice
COLT 2022