Dan Mikulincer

According to our database, Dan Mikulincer authored at least 14 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of three.

2025

Size and Depth of Monotone Neural Networks: Interpolation and Approximation.

Dan Mikulincer, Daniel Reichman

IEEE Trans. Neural Networks Learn. Syst., April, 2025

Low-dimensional Functions are Efficiently Learnable under Randomly Biased Distributions.

Elisabetta Cornacchia, Dan Mikulincer, Elchanan Mossel

Proceedings of the Thirty Eighth Annual Conference on Learning Theory, 2025

2024

How to Trap a Gradient Flow.

Sébastien Bubeck, Dan Mikulincer

SIAM J. Comput., 2024

2023

Time Lower Bounds for the Metropolis Process and Simulated Annealing.

Zongchen Chen, Dan Mikulincer, Daniel Reichman, Alexander S. Wein

CoRR, 2023

Noise Stability on the Boolean Hypercube via a Renormalized Brownian Motion.

Ronen Eldan, Dan Mikulincer, Prasad Raghavendra

Proceedings of the 55th Annual ACM Symposium on Theory of Computing, 2023

Integrality Gaps for Random Integer Programs via Discrepancy.

Sander Borst, Daniel Dadush, Dan Mikulincer

Proceedings of the 2023 ACM-SIAM Symposium on Discrete Algorithms, 2023

Is This Correct? Let's Check!

Omri Ben-Eliezer, Dan Mikulincer, Elchanan Mossel, Madhu Sudan

Proceedings of the 14th Innovations in Theoretical Computer Science Conference, 2023

2022

Community detection and percolation of information in a geometric setting.

Ronen Eldan, Dan Mikulincer, Hester Pieters

Comb. Probab. Comput., 2022

Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions.

Omri Ben-Eliezer, Dan Mikulincer, Ilias Zadik

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Non-asymptotic approximations of neural networks by Gaussian processes.

Ronen Eldan, Dan Mikulincer, Tselil Schramm

Proceedings of the Conference on Learning Theory, 2021

2020

Network size and weights size for memorization with two-layers neural networks.

Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer

CoRR, 2020

Network size and size of the weights in memorization with two-layers neural networks.

Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Stability of the Shannon-Stam inequality via the Föllmer process.

Ronen Eldan, Dan Mikulincer

CoRR, 2019

2016

Information and dimensionality of anisotropic random geometric graphs.

Ronen Eldan, Dan Mikulincer

CoRR, 2016