Tudor Manole
Scholar

Tudor Manole

Google Scholar ID: ATzLj8gAAAAJ
Massachusetts Institute of Technology
StatisticsMachine LearningOptimal Transport
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
450
 
H-index
9
 
i10-index
9
 
Publications
14
 
Co-authors
10
list available
Contact
CVOpen ↗GitHubOpen ↗
Publications
5 items
Testing Imprecise Hypotheses
2025
Cited
0
How much can we learn from quantum random circuit sampling?
2025
Cited
0
Local Poisson Deconvolution for Discrete Signals
2025
Cited
0
Statistical Inference for Optimal Transport Maps: Recent Advances and Perspectives
2025
Cited
0
Stability Bounds for Smooth Optimal Transport Maps and their Statistical Implications
2025
Cited
0
Resume (English only)
Academic Achievements
  • Published multiple high-impact papers in journals such as The Annals of Statistics, The Annals of Applied Statistics, Statistical Science, and IEEE Transactions on Information Theory.
  • Key contributions in optimal transport, finite mixture models, density ratio estimation, and refinements of classical inequalities.
  • Several papers are co-first-authored (marked with *).
  • PhD thesis is publicly available.
  • All research code is openly accessible on GitHub.
  • On the academic job market for 2025–2026.
Co-authors
10 total
Larry Wasserman
Larry Wasserman
Professor, Department of Statistics and Machine Learning Department, Carnegie Mellon University
Co-author 2
Co-author 2
Jonathan Niles-Weed
Jonathan Niles-Weed
New York University
Aaditya Ramdas
Aaditya Ramdas
Associate Professor (with tenure), Carnegie Mellon University
Nhat Ho
Nhat Ho
Assistant Professor at University of Texas, Austin
Co-author 6
Co-author 6
Co-author 7
Co-author 7
Mikael Kuusela
Mikael Kuusela
Carnegie Mellon University