Scholar
Aravind Gollakota
Google Scholar ID: FfXcEGMAAAAJ
Apple
Citations & Impact
Citations
403
H-index
9
i10-index
9
Publications
14
Co-authors
10
list available
Publications
Resume (English only)
Academic Achievements
- Published 'Provable Uncertainty Decomposition via Higher-Order Calibration' at ICLR 2025 (Spotlight presentation)
- Published 'Tester-Learners for Halfspaces: Universal Algorithms' at NeurIPS 2023 (Oral presentation)
- Published 'A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity' at STOC 2023 (invited to SIAM Journal of Computing special issue)
- Published 'Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks' at NeurIPS 2022 (Oral presentation)
- Multiple papers published in top venues including NeurIPS, ICLR, ICML, STOC, and Quantum
- Collaborated extensively with advisor Adam Klivans and others on topics such as uncertainty quantification, testable learning, neural network theory, and quantum learning
