Valentio Iverson
Scholar

Valentio Iverson

Google Scholar ID: SKaPm_QAAAAJ
Undergraduate Student at University of Waterloo
Theoretical machine learningDeep Learning TheoryStatisticsOptimizationOnline Learning
Citations & Impact
All-time
Citations
6
 
H-index
1
 
i10-index
0
 
Publications
4
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Paper 'Optimal Differentially Private Sampling of Unbounded Gaussians' accepted to COLT 2025 and TPDP 2025.
  • Paper 'Mean and Variance Estimation Complexity in Arbitrary Distributions via Wasserstein Minimization' submitted for review.
  • October 2025: Paper 'A Pathological Property of Nonlocal Discrete Operators' accepted to Proceedings of the AMS.
  • May 2025: Awarded the 2025 Germain-Erdős Undergraduate Award in Mathematics Research for outstanding mathematics research at the University of Waterloo.
  • March 2025: Featured in Waterloo News for the University of Waterloo’s 6th-place ranking in the 2024 Putnam Competition as a team member.
  • February 2025: Earned Honorable Mention in the 2024 William Lowell Putnam Mathematical Competition.
  • Proposed Problem 2 for the IMO 2024 (the first IMO problem from Indonesia).
Research Experience
  • Research interests lie at the intersection of machine learning and theoretical computer science, focusing on the theoretical foundations of machine learning. Also interested in theoretical computer science and other math topics like number theory, combinatorics, and discrete geometry.
Education
  • Pursuing a Bachelor's degree at the University of Waterloo (expected graduation June 2026), majoring in Computer Science, with minors in Combinatorics & Optimization and Pure Mathematics.
Background
  • Undergraduate student at the University of Waterloo, majoring in Computer Science with minors in Combinatorics & Optimization and Pure Mathematics. Originally from Indonesia, driven by a passion for advancing mathematical foundations in data science and machine learning. Plans to pursue graduate studies in machine learning theory starting in 2026 (expected B.S. June 2026).
Miscellany
  • Beyond research, enjoys engaging with the mathematical community through math contests. Check out his Math page for resources like contest handouts, problem proposals, and coursework projects and notes, or his Blog Posts for some cool blog posts on mathematics, most likely contest math and machine learning topics.