Niladri S. Chatterji
10 papers · 2018–2025 · 4 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (4) 🏃 Academic Marathon (7) 🐝 Cross-Pollinator (12)
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Interdisciplinary Bridge
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Hot Topic Early Bird
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Cross-Pollinator
(12)
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Keyword Champion
(3)
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Unstoppable
(5)
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Century Club
(10)
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The Questioner
(2)
Conferences
JMLR (6)
COLT (2)
ACL (1)
ICLR (1)
Top co-authors
Keywords
benign overfitting
(3)
excess risk
(3)
gradient descent
(3)
logistic loss
(3)
binary classification
(2)
gradient flow
(2)
markov chain monte carlo
(1)
neural network optimization
(1)
feature learning
(1)
linear regression
(1)
excess risk bound
(1)
relu activation
(1)
minimum norm
(1)
hamiltonian monte carlo
(1)
knowledge distillation
(1)
convergence rate
(1)
generalization bound
(1)
linear classifier
(1)
basis pursuit
(1)
maximum margin
(1)
Papers
Compute Optimal Scaling of Skills: Knowledge vs Reasoning
ACL 2025
Proving Test Set Contamination in Black-Box Language Models
ICLR 2024
Random Feature Amplification: Feature Learning and Generalization in Neural Networks
JMLR 2023
Deep linear networks can benignly overfit when shallow ones do
JMLR 2023
Foolish Crowds Support Benign Overfitting
JMLR 2022
The Interplay Between Implicit Bias and Benign Overfitting in Two-Layer Linear Networks
JMLR 2022
Finite-sample Analysis of Interpolating Linear Classifiers in the Overparameterized Regime
JMLR 2021
When Does Gradient Descent with Logistic Loss Find Interpolating Two-Layer Networks?
JMLR 2021
When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations?
COLT 2021
Underdamped Langevin MCMC: A non-asymptotic analysis
COLT 2018