Jan Hazla

29 papers A* 5A 1B 2Journal 20Unranked 1
YearRankTypeTitle / Venue / Authors
2025 J jnl
Generalized Samorodnitsky noisy function inequalities, with applications to error-correcting codes.
CoRR
Olakunle S. Abawonse, Jan Hazla, Ryan O'Donnell
2025 J jnl
Geometric opinion exchange polarizes in every dimension.
CoRR
Abdou Majeed Alidou, Júlia Baligács, Jan Hazla
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
2024 J jnl
A Geometric Model of Opinion Polarization.
Math. Oper. Res.
Jan Hazla, Yan Jin, Elchanan Mossel, Govind Ramnarayan
2024 B conf
A Quantitative Version of More Capable Channel Comparison.
ISIT
Donald Kougang-Yombi, Jan Hazla
2024 J jnl
A Quantitative Version of More Capable Channel Comparison.
CoRR
Donald Kougang-Yombi, Jan Hazla
2024 J jnl
Inevitability of Polarization in Geometric Opinion Exchange.
CoRR
Abdou Majeed Alidou, Júlia Baligács, Max Hahn-Klimroth, Jan Hazla, Lukas Hintze, Olga Scheftelowitsch
2024 J jnl
Learning High-Degree Parities: The Crucial Role of the Initialization.
CoRR
Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Donald Kougang-Yombi
2023 B conf
Optimal List Decoding from Noisy Entropy Inequality.
ISIT
Jan Hazla
2022 A* conf
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs.
ICLR
Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina
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
Optimal list decoding from noisy entropy inequality.
CoRR
Jan Hazla
2021 J jnl
A Johnson-Lindenstrauss Framework for Randomly Initialized CNNs.
CoRR
Ido Nachum, Jan Hazla, Michael Gastpar, Anatoly Khina
2021 J jnl
Almost-Reed-Muller Codes Achieve Constant Rates for Random Errors.
IEEE Trans. Inf. Theory
Emmanuel Abbe, Jan Hazla, Ido Nachum
2021 J jnl
Bayesian Decision Making in Groups is Hard.
Oper. Res.
Jan Hazla, Ali Jadbabaie, Elchanan Mossel, M. Amin Rahimian
2021 A* conf
On codes decoding a constant fraction of errors on the BSC.
STOC
Jan Hazla, Alex Samorodnitsky, Ori Sberlo
2021 J jnl
Regularization by Misclassification in ReLU Neural Networks.
CoRR
Elisabetta Cornacchia, Jan Hazla, Ido Nachum, Amir Yehudayoff
2020 J jnl
Almost-Reed-Muller Codes Achieve Constant Rates for Random Errors.
CoRR
Emmanuel Abbe, Jan Hazla, Ido Nachum
2020 J jnl
On Arithmetic Progressions in Symmetric Sets in Finite Field Model.
Electron. J. Comb.
Jan Hazla
2019 J jnl
A Geometric Model of Opinion Polarization.
CoRR
Jan Hazla, Yan Jin, Elchanan Mossel, Govind Ramnarayan
2019 A* conf
Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard.
COLT
Jan Hazla, Ali Jadbabaie, Elchanan Mossel, M. Amin Rahimian
2018 J jnl
Reasoning in Bayesian Opinion Exchange Networks Is PSPACE-Hard.
CoRR
Jan Hazla, Ali Jadbabaie, Elchanan Mossel, M. Amin Rahimian
2016 J jnl
Forbidden Subgraph Bounds for Parallel Repetition and the Density Hales-Jewett Theorem.
CoRR
Jan Hazla, Thomas Holenstein, Anup Rao
2016 — conf
Lower Bounds on Same-Set Inner Product in Correlated Spaces.
APPROX-RANDOM
Jan Hazla, Thomas Holenstein, Elchanan Mossel
2015 J jnl
Lower Bounds on Same-Set Inner Product in Correlated Spaces.
CoRR
Jan Hazla, Thomas Holenstein, Elchanan Mossel
2015 A conf
Upper Tail Estimates with Combinatorial Proofs.
STACS
Jan Hazla, Thomas Holenstein
2014 J jnl
Upper Tail Estimates with Combinatorial Proofs.
CoRR
Jan Hazla, Thomas Holenstein