Michael Muehlebach
21 papers · 2019–2025 · 10 conferences · across top CS/AI conferences
Achievements
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๐ Academic Marathon (6) ๐ Interdisciplinary Bridge ๐งญ Keyword Pioneer ๐ Conference Polyglot (10) ๐ฃ Hot Topic Early Bird
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Conference Polyglot
(10)
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Academic Marathon
(6)
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Keyword Pioneer
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Keyword Collector
(65)
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Conference Pioneer
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Century Club
(21)
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Unstoppable
(7)
โก
Prolific Year
(5)
Conferences
ICML (4)
L4DC (4)
CORL (2)
ICLR (2)
JMLR (2)
NIPS (2)
RSS (2)
COLT (1)
MICCAI (1)
UAI (1)
Top co-authors
Keywords
dynamical system
(3)
gradient descent
(2)
convergence rate
(2)
neural network
(2)
finite-sum optimization
(1)
online learning
(1)
stochastic gradient
(1)
convex optimization
(1)
nonconvex optimization
(1)
causal effect estimation
(1)
trajectory prediction
(1)
minimax optimization
(1)
constrained optimization
(1)
ising model
(1)
oracle complexity
(1)
large-scale optimization
(1)
constraint satisfaction
(1)
manifold optimization
(1)
trajectory tracking
(1)
non-convex optimization
(1)
Papers
Partially Observable Reinforcement Learning with Memory Traces
ICML 2025
A Pontryagin Perspective on Reinforcement Learning
L4DC 2025
Controlling Participation in Federated Learning with Feedback
L4DC 2025
Constraint-Aware Diffusion Guidance for Robotics: Real-Time Obstacle Avoidance for Autonomous Racing
CORL 2025
Conformal Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
ICLR 2025
Adversarial Training for Defense Against Label Poisoning Attacks
ICLR 2025
Distributed Event-Based Learning via ADMM
ICML 2025
Bi-Level Motion Imitation for Humanoid Robots
CORL 2024
Safe & Accurate at Speed with Tendons: A Robot Arm for Exploring Dynamic Motion
RSS 2024
Subgroup-Specific Risk-Controlled Dose Estimation in Radiotherapy
MICCAI 2024
Causal effect estimation from observational and interventional data through matrix weighted linear estimators
UAI 2023
Online Learning under Adversarial Nonlinear Constraints
NIPS 2023
Orthogonal Directions Constrained Gradient Method: from non-linear equality constraints to Stiefel manifold
COLT 2023
Black-Box vs. Gray-Box: A Case Study on Learning Table Tennis Ball Trajectory Prediction with Spin and Impacts
L4DC 2023
A Dynamical Systems Perspective on Discrete Optimization
L4DC 2023
On Constraints in First-Order Optimization: A View from Non-Smooth Dynamical Systems
JMLR 2022
A Learning-based Iterative Control Framework for Controlling a Robot Arm with Pneumatic Artificial Muscles
RSS 2022
Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
NIPS 2022
Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives
JMLR 2021
Continuous-time Lower Bounds for Gradient-based Algorithms
ICML 2020
A Dynamical Systems Perspective on Nesterov Acceleration
ICML 2019