John Lygeros
16 papers · 2007–2026 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (37) π Academic Marathon Β· Full π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Pioneer
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Keyword Trendsetter Combo
(3)
π
Keyword Champion
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Keyword Pioneer
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Topic Evolution
π
Century Club Β· Bronze
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Keyword Collector
(77)
π
Trend Setter
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Renaissance Researcher
(6)
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Conference Pioneer
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(11)
Artificial Intelligence
(7)
Mathematics & Optimization
(6)
Optimization
(6)
Reinforcement Learning
(5)
Core AI
(5)
Learning Types
(5)
Methods
(4)
Robotics
(3)
Bayesian & Probabilistic Β· Machine Learning
(3)
Systems
(3)
Deep Learning
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Data Science & Analytics
(1)
Keywords
model predictive control
(4)
sequential decision making
(2)
optimal control
(2)
inverse reinforcement learning
(2)
convex optimization
(2)
bayesian optimization
(2)
differentiable optimization
(2)
large-scale optimization
(1)
maximum entropy
(1)
probabilistic modeling
(1)
sample complexity
(1)
policy learning
(1)
convergence analysis
(1)
continuous optimization
(1)
markov decision process
(1)
policy optimization
(1)
markov chain monte carlo
(1)
gradient estimation
(1)
policy gradient
(1)
dynamic regret
(1)
Papers
Policy Optimization for Unknown Systems using Differentiable MPC
L4DC 2026
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
AISTATS 2025
DeePC-Hunt: Data-enabled Predictive Control Hyperparameter Tuning via Differentiable Optimization
L4DC 2025
Optimizing Social Network Interventions via Hypergradient-Based Recommender System Design
ICML 2025
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context
AISTATS 2025
Convergence guarantees for adaptive model predictive control with kinky inference
L4DC 2024
Predictive Linear Online Tracking for Unknown Targets
ICML 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
NeurIPS 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
NeurIPS 2024
PAGE-PG: A Simple and Loopless Variance-Reduced Policy Gradient Method with Probabilistic Gradient Estimation
ICML 2022
Safe Control with Minimal Regret
L4DC 2022
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
ICML 2021
Input Convex Neural Networks for Building MPC
L4DC 2021
Learning solutions to hybrid control problems using Benders cuts
L4DC 2020
Generalized Maximum Entropy Estimation
JMLR 2019
Simulated Annealing: Rigorous finite-time guarantees for optimization on continuous domains
NeurIPS 2007