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Anindya De

9 papers · 2019–2023 · 4 conferences · across top CS/AI conferences

Achievements

πŸ—ΊοΈ Taxonomy Completionist (13) 🌍 Conference Polyglot (4) 🐣 Hot Topic Early Bird 🐝 Cross-Pollinator (11) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer ⚑ Prolific Year (5) ❓ The Questioner πŸ”₯ Unstoppable (5)

Conferences

COLT (4) ALT (3) JMLR (1) NIPS (1)

Top co-authors

Rocco Servedio (3) Aravindan Vijayaraghavan (2) Aidao Chen (2) Eshwar Ram Arunachaleswaran (1) Elchanan Mossel (1) Sampath Kannan (1) Huck Bennett (1) Ryan O’Donnell (1) Philip M. Long (1) Huan Li (1)

Keywords

mixture model (2) lower bound (2) subspace learning (1) sample complexity (1) pac learning (1) fourier analysis (1) probability distribution (1) linear classifier (1) evolutionary trees (1) oracle complexity (1) mallows model (1) parameter recovery (1) distribution learning (1) random variable (1) computational complexity (1) supervised learning (1) spectral algorithm (1) gaussian distribution (1) boolean function (1) convex optimization (1)

Papers

Reconstructing Ultrametric Trees from Noisy Experiments ALT 2023
Algorithms for learning a mixture of linear classifiers ALT 2022
Learning a mixture of two subspaces over finite fields ALT 2021
Learning sparse mixtures of permutations from noisy information COLT 2021
Approximate optimization of convex functions with outlier noise NIPS 2021
Reconstructing weighted voting schemes from partial information about their power indices COLT 2021
Weak learning convex sets under normal distributions COLT 2021
Learning Sums of Independent Random Variables with Sparse Collective Support JMLR 2020
Is your function low dimensional? COLT 2019