Scholar
Theodor Misiakiewicz
Google Scholar ID: E8Jst30AAAAJ
Assistant Professor, Yale University
machine learning
probability theory
statistics
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Citations & Impact
All-time
Citations
2,090
H-index
16
i10-index
19
Publications
20
Co-authors
13
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Publications
10 items
When do data mixtures improve scaling laws? Insights from high-dimensional regression
2026
Cited
0
Generalization, memorization, and overfitting for diffusion models trained in the lazy high-dimensional regime
2026
Cited
0
The sharp SAT/UNSAT phase transition in random ellipsoid fitting
2026
Cited
0
Improved Scaling Laws via Weak-to-Strong Generalization in Random Feature Ridge Regression
2026
Cited
0
Statistical-Computational Trade-offs in Learning Multi-Index Models via Harmonic Analysis
2026
Cited
0
Positive Distribution Shift as a Framework for Understanding Tractable Learning
2026
Cited
0
When does Gaussian equivalence fail and how to fix it: Non-universal behavior of random features with quadratic scaling
2025
Cited
0
Learning single-index models via harmonic decomposition
2025
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0
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Co-authors
10 total
Andrea Montanari
John D. and Sigrid Banks Professor, Statistics and Mathematics, Stanford University
Song Mei
Assistant Professor at UC Berkeley
Enric Boix-Adserà
Assistant Professor at Wharton Statistics and Data Science
Lechao Xiao
Google DeepMind
Jeffrey Pennington
Google Brain
Yue M. Lu
Gordon McKay Professor of Electrical Engineering and of Applied Mathematics, Harvard University
Roberto Imbuzeiro Oliveira
Professor, IMPA
Nathan Srebro
Professor, TTIC and University of Chicago
