Anindya De
9 papers · 2019–2023 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (13) π Conference Polyglot (4) π£ Hot Topic Early Bird π Cross-Pollinator (11) π Interdisciplinary Bridge
π§
Keyword Pioneer
β‘
Prolific Year
(5)
β
The Questioner
π₯
Unstoppable
(5)
Conferences
COLT (4)
ALT (3)
JMLR (1)
NIPS (1)
Top co-authors
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