CV

Find my CV attached below. CV (PDF)

Education

• BSc. Combined Honours Math and Computer Science, University of British Columbia, 2026

Publications

Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent

P. Richtárik, S. M. Giancola, D. Lubczyk, R. Yadav, Local Curvature Descent: Squeezing More Curvature out of Standard and Polyak Gradient Descent, NeurIPS, 2025

RETRO SYNFLOW: Discrete Flow Matching for Accurate and Diverse Single-Step Retrosynthesis

R. Yadav, Q. Yan, G. Wolf, J. Bose, R. Liao, RetroSynFlow: Flow Matching for Accurate and Diverse Single-Step Retrosynthesis, NeurIPS, 2025

[Oral] Provable Benefit of Sign Descent: A Minimal Model Under Heavy-Tailed Class Imbalance.

R. Yadav, S. Xie, T. Wang, Z. Li, Provable Benefit of Sign Descent: A Minimal Model Under Heavy-Tail Class Imbalance, NeurIPS OPT Workshop, 2025

[Spotlight] Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models

F. Kunstner, A. Milligan, R. Yadav, M. Schmidt, A. Bietti, Heavy-Tailed Class Imbalance and Why Adam Outperforms Gradient Descent on Language Models, NeurIPS, 2024.