Parthe Pandit
12 papers · 2018–2025 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (24)
💎
Century Club · Bronze
🔥
Unstoppable · Bronze
🗃️
Keyword Collector
(61)
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory
(9)
Core Methods
(7)
Mathematics & Optimization
(4)
Deep Learning
(3)
Optimization
(3)
Architectures
(2)
Mathematics
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Application Areas
(1)
Bayesian & Probabilistic · Machine Learning
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Foundations
(1)
Learning Paradigms
(1)
Keywords
kernel machine
(3)
kernel methods
(3)
generalization error
(3)
neural network
(2)
approximate message passing
(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
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
Universality of Kernel Random Matrices and Kernel Regression in the Quadratic Regime
JMLR 2025
On the Nyström Approximation for Preconditioning in Kernel Machines
AISTATS 2024
Toward Large Kernel Models
ICML 2023
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting
NeurIPS 2022
Instability and Local Minima in GAN Training with Kernel Discriminators
NeurIPS 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
NeurIPS 2020
Sparse Multivariate Bernoulli Processes in High Dimensions
AISTATS 2019
Plug-in Estimation in High-Dimensional Linear Inverse Problems: A Rigorous Analysis
NeurIPS 2018