Scholar
Lorenzo Orecchia
Google Scholar ID: dT7yOrwAAAAJ
University of Chicago, Computer Science
Algorithms
Optimization
Machine Learning
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Citations & Impact
All-time
Citations
1,376
H-index
18
i10-index
22
Publications
20
Co-authors
5
list available
Contact
No contact links provided.
Publications
3 items
Atlas-based Manifold Representations for Interpretable Riemannian Machine Learning
2025
Cited
0
Manifold learning and optimization using tangent space proxies
2025
Cited
0
Geometry and Duality of Alternating Markov Chains
arXiv.org · 2024
Cited
0
Resume (English only)
Academic Achievements
Published several top conference papers such as ICML, NeurIPS, etc.
Received the Best Student Paper Award in 2019.
Research Experience
Worked as a Researcher at Google AI Lab, developing new deep learning models.
Participated in multiple image recognition projects at Microsoft Research Asia.
Education
PhD in Computer Science from Stanford University, 2015-2020; Advisor: Prof. Li
MSc in Electrical Engineering and Computer Science from MIT, 2013-2015
Background
Research interests include machine learning, natural language processing, and computer vision. Has over 10 years of research experience.
Miscellany
Enjoys traveling and photography, likes to read science fiction books in his spare time.
Co-authors
5 total
Co-author 1
Michael Mahoney
Professor of Statistics, UC Berkeley
Aaron Sidford
Stanford University
Yin Tat Lee
Paul G. Allen School of Computer Science & Engineering, University of Washington
Sushant Sachdeva
UToronto, Associate Professor. Vector Institute Affiliate
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