Melanie Zeilinger
13 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (28) 🏃 Academic Marathon · Sprint 🐣 Hot Topic Early Bird
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Renaissance Researcher
(5)
🔥
Unstoppable · Bronze
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Conference Pioneer
💎
Century Club · Bronze
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Keyword Collector
(73)
Top co-authors
Research topics
Machine Learning
(10)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Reinforcement Learning
(4)
Core AI
(4)
Learning Types
(4)
Methods
(4)
Mathematics & Optimization
(3)
Robotics
(3)
Optimization
(3)
Deep Learning
(2)
Systems
(2)
Computer Vision
(1)
Application Areas
(1)
Bayesian & Probabilistic
(1)
Keywords
model predictive control
(3)
autonomous racing
(2)
bayesian optimization
(2)
policy gradient
(2)
dynamic programming
(1)
posterior sampling
(1)
reinforcement learning
(1)
gaussian process
(1)
imitation learning
(1)
exploration-exploitation tradeoff
(1)
markov decision process
(1)
stochastic control
(1)
multi-agent learning
(1)
trajectory optimization
(1)
model-based reinforcement learning
(1)
constraint satisfaction
(1)
linear quadratic regulator
(1)
robust optimization
(1)
adaptive control
(1)
transformer architecture
(1)
Papers
Stability of Certainty-Equivalent Adaptive LQR for Linear Systems with Unknown Time-Varying Parameters
L4DC 2026
Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing
CoRL 2025
Lambda-Skip Connections: the architectural component that prevents Rank Collapse
ICLR 2025
ZipMPC: Compressed Context-Dependent MPC Cost via Imitation Learning
CoRL 2025
MPCC++: Model Predictive Contouring Control for Time-Optimal Flight with Safety Constraints
RSS 2024
Submodular Reinforcement Learning
ICLR 2024
Predictive safety filter using system level synthesis
L4DC 2023
Time Dependent Inverse Optimal Control using Trigonometric Basis Functions
L4DC 2023
Near-Optimal Multi-Agent Learning for Safe Coverage Control
NeurIPS 2022
On-Policy Model Errors in Reinforcement Learning
ICLR 2022
Bayesian model predictive control: Efficient model exploration and regret bounds using posterior sampling
L4DC 2020
Dual Stochastic MPC for Systems with Parametric and Structural Uncertainty
L4DC 2020
Noisy-Input Entropy Search for Efficient Robust Bayesian Optimization
AISTATS 2020