Aukosh Jagannath
9 papers · 2021–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π§ Keyword Pioneer π£ Hot Topic Early Bird π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (20)
π
Cross-Pollinator
(15)
π₯
Unstoppable
(5)
Conferences
JMLR (3)
ICLR (2)
ICML (2)
NIPS (2)
Top co-authors
Research topics
Keywords
graph neural network
(2)
stochastic block model
(2)
stochastic gradient descent
(2)
node classification
(2)
parameter estimation
(1)
attention mechanism
(1)
high-dimensional inference
(1)
out-of-distribution generalization
(1)
message passing
(1)
generalization error
(1)
high-dimensional analysis
(1)
semi-supervised classification
(1)
robust estimation
(1)
exponential mechanism
(1)
phase retrieval
(1)
concentration inequality
(1)
generalized linear model
(1)
gradient flow
(1)
stochastic differential equation
(1)
graph attention network
(1)
Papers
Differentially Private Multivariate Medians
JMLR 2025
Provable Benefits of Unsupervised Pre-training and Transfer Learning via Single-Index Models
ICML 2025
High-dimensional SGD aligns with emerging outlier eigenspaces
ICLR 2024
Graph Attention Retrospective
JMLR 2023
Optimality of Message-Passing Architectures for Sparse Graphs
NIPS 2023
Effects of Graph Convolutions in Multi-layer Networks
ICLR 2023
High-dimensional limit theorems for SGD: Effective dynamics and critical scaling
NIPS 2022
Online stochastic gradient descent on non-convex losses from high-dimensional inference
JMLR 2021
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
ICML 2021