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20032026
most citedStochastic approximation of score functions for Gaussian processes

44 citations · 250 across the 61 of their papers we have counts for

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Showing 2025Show all

8 papers · 1 filter

math.OC2025

Overlapping Schwarz Scheme for Linear-Quadratic Programs in Continuous Time

Hongli Zhao, Mihai Anitescu, Sen Na

We present an optimize-then-discretize framework for solving linear-quadratic optimal control problems (OCP) governed by time-inhomogeneous ordinary differential equations (ODEs).…

math.OC2025

GPU Implementation of Second-Order Linear and Nonlinear Programming Solvers

Alexis Montoison, François Pacaud, Sungho Shin +1

In recent years, GPU-accelerated optimization solvers based on second-order methods (e.g., interior-point methods) have gained momentum with the advent of mature and efficient GPU-…

eess.SY2025

Simultaneous improvement of control and estimation for battery management systems

Mohammad S. Ramadan, Marfred Barrera, Mihai Anitescu +1

Standard battery management systems treat the control and state estimation problems as decoupled objectives, relying on certainty equivalence controllers that are blind to the vary…

math.NA2025

BOLT: Block-Orthonormal Lanczos for Trace estimation of matrix functions

Kingsley Yeon, Promit Ghosal, Mihai Anitescu

Efficient matrix trace estimation is essential for scalable computation of log-determinants, matrix norms, and distributional divergences. In many large-scale applications, the mat…

physics.ao-ph2025

Weakly-Constrained 4D Var for Downscaling with Uncertainty using Data-Driven Surrogate Models

Philip Dinenis, Vishwas Rao, Mihai Anitescu

Dynamic downscaling typically involves using numerical weather prediction (NWP) solvers to refine coarse data to higher spatial resolutions. Data-driven models such as FourCastNet…

math.OC2025

Recovering sparse DFT from missing signals via interior point method on GPU

Wei Kuang, Alexis Montoison, Vishwas Rao +2

We propose a method to recover the sparse discrete Fourier transform (DFT) of a signal that is both noisy and potentially incomplete, with missing values. The problem is formulated…

stat.ML2025

Online Covariance Matrix Estimation in Sketched Newton Methods

Wei Kuang, Mihai Anitescu, Sen Na

Given the ubiquity of streaming data, online algorithms have been widely used for parameter estimation, with second-order methods particularly standing out for their efficiency and…

eess.SY2025

Floodgates up to contain the DeePC and limit extrapolation

Mohammad Ramadan, Evan Toler, Mihai Anitescu

Behavioral data-enabled control approaches typically assume data-generating systems of linear dynamics. This may result in false generalization if the newly designed closed-loop sy…