John Lygeros
15 papers · 2007–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (18) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐣 Hot Topic Early Bird
🌍
Conference Polyglot
(5)
🏃
Academic Marathon
(18)
🐣
Hot Topic Early Bird
🧬
Topic Evolution
🏆
Keyword Champion
🌱
Topic Pioneer
🗃️
Keyword Collector
(54)
💎
Century Club
(15)
📈
Trend Setter
🚀
Conference Pioneer
Conferences
L4DC (5)
ICML (4)
NIPS (3)
AISTATS (2)
JMLR (1)
Top co-authors
Keywords
model predictive control
(3)
convex optimization
(2)
inverse reinforcement learning
(2)
optimal control
(2)
policy gradient
(1)
sequential decision making
(1)
imitation learning
(1)
importance sampling
(1)
policy learning
(1)
sample complexity
(1)
continuous optimization
(1)
regret minimization
(1)
gradient estimation
(1)
markov chain monte carlo
(1)
markov decision process
(1)
convergence analysis
(1)
gaussian process
(1)
global optimization
(1)
maximum entropy
(1)
probabilistic modeling
(1)
Papers
Wasserstein Distributionally Robust Bayesian Optimization with Continuous Context
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
Contractivity and linear convergence in bilinear saddle-point problems: An operator-theoretic approach
AISTATS 2025
Predictive Linear Online Tracking for Unknown Targets
ICML 2024
Safe Time-Varying Optimization based on Gaussian Processes with Spatio-Temporal Kernel
NIPS 2024
Randomized algorithms and PAC bounds for inverse reinforcement learning in continuous spaces
NIPS 2024
Convergence guarantees for adaptive model predictive control with kinky inference
L4DC 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
Input Convex Neural Networks for Building MPC
L4DC 2021
Efficient Performance Bounds for Primal-Dual Reinforcement Learning from Demonstrations
ICML 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
NIPS 2007