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Papers
Koopman Operator for Stability Analysis: Theory with a Linear–Radial Product Reproducing Kernel
L4DC 2026
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
JMLR 2025
Generalization Lower Bounds for GD and SGD in Smooth Stochastic Convex Optimization
AISTATS 2025
Geometry and Stability of Supervised Learning Problems
JMLR 2025
Learning-enabled Polynomial Lyapunov Function Synthesis via High-Accuracy Counterexample-Guided Framework
CVPR 2025
Stability-based Generalization Analysis of Randomized Coordinate Descent for Pairwise Learning
AAAI 2025
The ODE Method for Stochastic Approximation and Reinforcement Learning with Markovian Noise
JMLR 2025
Towards Understanding Gradient Dynamics of the Sliced-Wasserstein Distance via Critical Point Analysis
ICML 2025
A data-driven Riccati equation
L4DC 2024
An abstract theory of sensor eventification
RSS 2024
Entropic Gromov-Wasserstein Distances: Stability and Algorithms
JMLR 2024
General Stability Analysis for Zeroth-Order Optimization Algorithms
ICLR 2024
Graph neural networks and non-commuting operators
NeurIPS 2024
Learning Neural Contracting Dynamics: Extended Linearization and Global Guarantees
NeurIPS 2024
Lower Bounds of Uniform Stability in Gradient-Based Bilevel Algorithms for Hyperparameter Optimization
NeurIPS 2024
On the Stability and Generalization of Meta-Learning
NeurIPS 2024
On the Stability of Iterative Retraining of Generative Models on their own Data
ICLR 2024
Probably approximately correct stability of allocations in uncertain coalitional games with private sampling
L4DC 2024
Random Oscillators Network for Time Series Processing
AISTATS 2024
Self-Compatibility: Evaluating Causal Discovery without Ground Truth
AISTATS 2024
Stability Analysis of Switched Linear Systems with Neural Lyapunov Functions
AAAI 2024
Stability and Generalization of Asynchronous SGD: Sharper Bounds Beyond Lipschitz and Smoothness
NeurIPS 2024
Stability and L2-penalty in Model Averaging
JMLR 2024
Stable modular control via contraction theory for reinforcement learning
L4DC 2024
Strengthened stability analysis of discrete-time Lurie systems involving ReLU neural networks
L4DC 2024