Zaïd Harchaoui

University of Washington — United States

Engineering · Physical Sciences

45h-index13.2kcitations207works1.62yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(35), Stochastic Gradient Optimization Techniques(32), Advanced Image and Video Retrieval Techniques(26), Statistical Methods and Inference(21), Domain Adaptation and Few-Shot Learning(20)

Publications207 total

Stochastic optimization on matrices and a graphon McKean–Vlasov limit
The Annals of Applied Probability·2026
Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty
Methods in Ecology and Evolution·2025Open Access
Supervised Stochastic Gradient Algorithms for Multi-Trial Source Separation
arXiv (Cornell University)·2025Open Access
A Generalization Theory for Zero-Shot Prediction
arXiv (Cornell University)·2025Open Access
Min-Max Optimization with Dual-Linear Coupling
arXiv (Cornell University)·2025Open Access
Author response for "Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty"
2025
Langevin Diffusion Approximation to Same Marginal Schrödinger Bridge
arXiv (Cornell University)·2025Open Access
Generative AI as a tool to accelerate the field of ecology
Nature Ecology & Evolution·2025· 25 cited
Leveraging machine learning and accelerometry to classify animal behaviours with uncertainty
2024· 1 citedOpen Access
Spectral Differential Network Analysis for High-Dimensional Time Series
arXiv (Cornell University)·2024Open Access
Iterative Linear Quadratic Optimization for Nonlinear Control: Differentiable Programming Algorithmic Templates
Open Journal of Mathematical Optimization·2024· 1 citedOpen Access
Score-Based Change Detection For Gradient-Based Learning Machines
IEEE RESOURCE CENTERS·2024Open Access
StyleRemix: Interpretable Authorship Obfuscation via Distillation and Perturbation of Style Elements
arXiv (Cornell University)·2024Open Access
The Benefits of Balance: From Information Projections to Variance Reduction
arXiv (Cornell University)·2024Open Access
From Decoding to Meta-Generation: Inference-time Algorithms for Large Language Models
arXiv (Cornell University)·2024· 2 citedOpen Access
Iterated Schrödinger bridge approximation to Wasserstein Gradient Flows
arXiv (Cornell University)·2024Open Access
Asymptotics of discrete Schrödinger bridges via chaos decomposition
Bernoulli·2024· 2 cited
Flat minima generalize for low-rank matrix recovery
Information and Inference A Journal of the IMA·2024· 3 cited
The Rao, Wald, And Likelihood-Ratio Tests under Generalized Self-Concordance
2024
Drago: Primal-Dual Coupled Variance Reduction for Faster Distributionally Robust Optimization
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Cordelia Schmid(18), Philippe Weinzaepfel(7), Julien Mairal(7), Jérôme Revaud(6), Florent Perronnin(6), Francis Bach(5), Zeynep Akata(4), Matthijs Douze(4), Adrien Gaidon(4), Mattis Paulin(3), Éric Moulines(3), John Thickstun(3), Sham M. Kakade(3), Olivier Cappé(3), Céline Lévy‐Leduc(2), C. Schmid(2), Hongzhou Lin(2), Sylvain Arlot(2), Alain Célisse(2), Miroslav Dudı́k(2)