Current instructor

Nicolas Garcia Trillos

What students say

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Classes with Nicolas Garcia Trillos

Statistical Learning covers complexity theory, Hilbert spaces, Gaussian processes, Variational Analysis, and concentration inequalities for prediction and decision making.

Offering recorded · Spring 2027 · Sources

Recent recorded grades — Spring 2023: 3.44 GPA, 65.9% A/AB (n=82 letter grades); Spring 2024: 3.34 GPA, 62.7% A/AB (n=51 letter grades); Spring 2026: 3.17 GPA, 47.6% A/AB (n=21 letter grades). Includes jointly taught sections.

historical GPA · grades

Spring 2023–Spring 2026

Recorded teaching history

Distinct courses recorded per term

Explore courses taught by this instructor →
Browse recorded courses
TermCourseTitle
Spring 2027STAT 615Statistical Learning
Spring 2027STAT 699Directed Study
Spring 2027STAT 990Research
Fall 2026MATH/STAT 309Introduction to Probability and Mathematical Statistics I
Fall 2026STAT 681Senior Honors Thesis
Fall 2026STAT 699Directed Study
Fall 2026STAT 990Research

Teaching history may be incomplete. Course pages contain course-specific feedback and citations.

Instructor identity & provenance
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