Preetum Nakkiran
21 papers · 2019–2025 · 5 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 9 separate collaboration groups - the largest holds only 38% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Preetum Nakkiran?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Joshua M. Susskind, Etai Littwin, Omid Saremi
8 papers
· 2024–2025
· ICLR, ICML, AISTATS
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with Gal Kaplun, Boaz Barak, Tristan Yang
5 papers
· 2019–2023
· NeurIPS, ICLR
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Deconstructing Distributions: A Pointwise Framework of Learning
ICLR 2023
Knowledge Distillation: Bad Models Can Be Good Role Models
NeurIPS 2022
Revisiting Model Stitching to Compare Neural Representations
NeurIPS 2021
Deep Double Descent: Where Bigger Models and More Data Hurt
ICLR 2020
SGD on Neural Networks Learns Functions of Increasing Complexity
NeurIPS 2019
6 papers whose co-authors appear nowhere else under this name
When is Multicalibration Post-Processing Necessary?
NeurIPS 2024
Benign, Tempered, or Catastrophic: Toward a Refined Taxonomy of Overfitting
NeurIPS 2022
What You See is What You Get: Principled Deep Learning via Distributional Generalization
NeurIPS 2022
Optimal Regularization can Mitigate Double Descent
ICLR 2021
The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers
ICLR 2021
Computational Limitations in Robust Classification and Win-Win Results
COLT 2019