Elisabetta Cornacchia

23 papers A* 7B 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Positive Distribution Shift as a Framework for Understanding Tractable Learning.
CoRR
Marko Medvedev, Idan Attias, Elisabetta Cornacchia, Theodor Misiakiewicz, Gal Vardi, Nathan Srebro
2025 J jnl
Intransitive dice tournament is not quasirandom.
Comb. Theory
Elisabetta Cornacchia, Jan Hazla
2025 A* conf
Learning High-Degree Parities: The Crucial Role of the Initialization.
ICLR
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Donald Kougang-Yombi
2025 A* conf
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions.
COLT
Elisabetta Cornacchia, Dan Mikulincer, Elchanan Mossel
2025 J jnl
Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions.
CoRR
Elisabetta Cornacchia, Dan Mikulincer, Elchanan Mossel
2024 J jnl
Learning High-Degree Parities: The Crucial Role of the Initialization.
CoRR
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Donald Kougang-Yombi
2023 A* conf
A Mathematical Model for Curriculum Learning for Parities.
ICML
Elisabetta Cornacchia, Elchanan Mossel
2023 J jnl
A Mathematical Model for Curriculum Learning.
CoRR
Elisabetta Cornacchia, Elchanan Mossel
2023 — —
Fundamental Limits in Statistical Learning Problems: Block Models and Neural Networks.
Elisabetta Cornacchia
2023 J jnl
Learning curves for the multi-class teacher-student perceptron.
Mach. Learn. Sci. Technol.
Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová
2023 A* conf
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs.
NeurIPS
Emmanuel Abbe, Elisabetta Cornacchia, Aryo Lotfi
2023 J jnl
Provable Advantage of Curriculum Learning on Parity Targets with Mixed Inputs.
CoRR
Emmanuel Abbe, Elisabetta Cornacchia, Aryo Lotfi
2023 J jnl
Theory and applications of the Sum-Of-Squares technique.
CoRR
Francis R. Bach, Elisabetta Cornacchia, Luca Pesce, Giovanni Piccioli
2022 A* conf
An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn.
ICML
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Christopher Marquis
2022 J jnl
An initial alignment between neural network and target is needed for gradient descent to learn.
CoRR
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Christopher Marquis
2022 J jnl
Learning curves for the multi-class teacher-student perceptron.
CoRR
Elisabetta Cornacchia, Francesca Mignacco, Rodrigo Veiga, Cédric Gerbelot, Bruno Loureiro, Lenka Zdeborová
2022 A* conf
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures.
NeurIPS
Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang
2022 J jnl
Learning to Reason with Neural Networks: Generalization, Unseen Data and Boolean Measures.
CoRR
Emmanuel Abbe, Samy Bengio, Elisabetta Cornacchia, Jon M. Kleinberg, Aryo Lotfi, Maithra Raghu, Chiyuan Zhang
2021 J jnl
Regularization by Misclassification in ReLU Neural Networks.
CoRR
Elisabetta Cornacchia, Jan Hazla, Ido Nachum, Amir Yehudayoff
2021 A* conf
Stochastic block model entropy and broadcasting on trees with survey.
COLT
Emmanuel Abbe, Elisabetta Cornacchia, Yuzhou Gu, Yury Polyanskiy
2021 J jnl
Stochastic block model entropy and broadcasting on trees with survey.
CoRR
Emmanuel Abbe, Elisabetta Cornacchia, Yuzhou Gu, Yury Polyanskiy
2020 B conf
Polarization in Attraction-Repulsion Models.
ISIT
Elisabetta Cornacchia, Neta Singer, Emmanuel Abbe
2020 J jnl
Polarization in Attraction-Repulsion Models.
CoRR
Elisabetta Cornacchia, Neta Singer, Emmanuel Abbe