Ameya Velingker
9 papers · 2017–2024 · 5 conferences · across top CS/AI conferences
Achievements
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πΊοΈ Taxonomy Completionist (17) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (7)
π
Cross-Pollinator
(12)
π
Keyword Champion
π
Triple Crown
Conferences
ICML (4)
NIPS (2)
AISTATS (1)
COLT (1)
ICLR (1)
Top co-authors
Keywords
sparse attention
(2)
graph neural network
(2)
kernel ridge regression
(2)
random fourier feature
(2)
graph transformer
(2)
message passing
(2)
covariance estimation
(1)
efficient computing
(1)
binary matrix factorization
(1)
low-rank approximation
(1)
random walk
(1)
convex relaxation
(1)
locality sensitive hashing
(1)
gaussian kernel
(1)
robust estimation
(1)
binary matrix
(1)
memory complexity
(1)
approximation algorithm
(1)
memory efficiency
(1)
graph regression
(1)
Papers
Weisfeiler-Leman at the margin: When more expressivity matters
ICML 2024
Even Sparser Graph Transformers
NIPS 2024
Locality-Aware Graph Rewiring in GNNs
ICLR 2024
Affinity-Aware Graph Networks
NIPS 2023
Exphormer: Sparse Transformers for Graphs
ICML 2023
Fast $(1+\varepsilon)$-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