Ameya Velingker
9 papers · 2017–2024 · 5 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20) π Conference Polyglot Β· Silver
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Renaissance Researcher
(5)
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Trend Setter
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Research topics
Machine Learning
(7)
Deep Learning
(5)
Architectures
(5)
Core Methods
(5)
Mathematics & Optimization
(3)
Mathematics
(3)
Optimization & Theory
(3)
Computer Science
(2)
Application Areas
(2)
Foundations
(2)
Artificial Intelligence
(1)
Knowledge & Reasoning
(1)
Security & Privacy
(1)
Core AI
(1)
Differential Privacy
(1)
Keywords
message passing
(4)
graph neural network
(3)
random fourier feature
(2)
kernel ridge regression
(2)
graph transformer
(2)
sparse attention
(2)
covariance estimation
(1)
attention mechanism
(1)
differential privacy
(1)
low-rank approximation
(1)
random walk
(1)
convex relaxation
(1)
locality sensitive hashing
(1)
gaussian kernel
(1)
matrix factorization
(1)
margin theory
(1)
binary matrix
(1)
binary matrix factorization
(1)
expressivity
(1)
robust estimation
(1)
Papers
Even Sparser Graph Transformers
NeurIPS 2024
Locality-Aware Graph Rewiring in GNNs
ICLR 2024
Weisfeiler-Leman at the margin: When more expressivity matters
ICML 2024
Affinity-Aware Graph Networks
NeurIPS 2023
Exphormer: Sparse Transformers for Graphs
ICML 2023
Fast (1+Ξ΅)-Approximation Algorithms for Binary Matrix Factorization
ICML 2023
Private Robust Estimation by Stabilizing Convex Relaxations
COLT 2022
Scaling up Kernel Ridge Regression via Locality Sensitive Hashing
AISTATS 2020
Random Fourier Features for Kernel Ridge Regression: Approximation Bounds and Statistical Guarantees
ICML 2017