Andrea Montanari
35 papers · 2009–2024 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 15 separate collaboration groups - the largest holds only 31% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Andrea Montanari?
6 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 Song Mei, Theodor Misiakiewicz, Behrooz Ghorbani
6 papers
· 2017–2021
· COLT, NeurIPS, ICML
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Learning with invariances in random features and kernel models
COLT 2021
When Do Neural Networks Outperform Kernel Methods?
NeurIPS 2020
An Instability in Variational Inference for Topic Models
ICML 2019
Limitations of Lazy Training of Two-layers Neural Network
NeurIPS 2019
Mean-field theory of two-layers neural networks: dimension-free bounds and kernel limit
COLT 2019
Solving SDPs for synchronization and MaxCut problems via the Grothendieck inequality
COLT 2017
9 papers whose co-authors appear nowhere else under this name
Scaling laws for learning with real and surrogate data
NeurIPS 2024
Towards a statistical theory of data selection under weak supervision
ICLR 2024
Compressing Tabular Data via Latent Variable Estimation
ICML 2023
High-Dimensional Projection Pursuit: Outer Bounds and Applications to Interpolation in Neural Networks
COLT 2022
Underspecification Presents Challenges for Credibility in Modern Machine Learning
JMLR 2022
Universality of empirical risk minimization
COLT 2022
On the Limitation of Spectral Methods: From the Gaussian Hidden Clique Problem to Rank-One Perturbations of Gaussian Tensors
NeurIPS 2015
Learning Mixtures of Linear Classifiers
ICML 2014
Which graphical models are difficult to learn?
NeurIPS 2009