Parthe Pandit
12 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (13) πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
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Conference Polyglot
(4)
π
Academic Marathon
(7)
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Century Club
(12)
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(50)
Conferences
ICML (4)
NIPS (4)
AISTATS (3)
JMLR (1)
Top co-authors
Keywords
kernel methods
(3)
generalization error
(3)
neural network
(2)
approximate message passing
(2)
kernel machine
(2)
matrix factorization
(1)
bayesian inference
(1)
neural tangent kernel
(1)
high-dimensional statistics
(1)
neural network optimization
(1)
asymptotic analysis
(1)
high-dimensional estimation
(1)
gradient descent
(1)
eigenvalue decomposition
(1)
stochastic gradient descent
(1)
kernel ridge regression
(1)
kernel regression
(1)
image reconstruction
(1)
distributed training
(1)
parameter estimation
(1)
Papers
Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
JMLR 2025
AxlePro: Momentum-Accelerated Batched Training of Kernel Machines
AISTATS 2025
Emergence in non-neural models: grokking modular arithmetic via average gradient outer product
ICML 2025
On the NystrΓΆm Approximation for Preconditioning in Kernel Machines
AISTATS 2024
Toward Large Kernel Models
ICML 2023
Instability and Local Minima in GAN Training with Kernel Discriminators
NIPS 2022
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting
NIPS 2022
Implicit Bias of Linear RNNs
ICML 2021
Generalization Error of Generalized Linear Models in High Dimensions
ICML 2020
Matrix Inference and Estimation in Multi-Layer Models
NIPS 2020
Sparse Multivariate Bernoulli Processes in High Dimensions
AISTATS 2019
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
NIPS 2018