Dan Mikulincer

26 papers A* 8A 2Journal 16

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Fast mixing in Ising models with a negative spectral outlier via Gaussian approximation. CoRR Dan Mikulincer, Youngtak Sohn
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
2025	J	`jnl`	Size and Depth of Monotone Neural Networks: Interpolation and Approximation. IEEE Trans. Neural Networks Learn. Syst. Dan Mikulincer, Daniel Reichman
2025	A	`conf`	Time Lower Bounds for the Metropolis Process and Simulated Annealing. APPROX/RANDOM Zongchen Chen, Dan Mikulincer, Daniel Reichman, Alexander S. Wein
2024	J	`jnl`	How to Trap a Gradient Flow. SIAM J. Comput. Sébastien Bubeck, Dan Mikulincer
2023	A*	`conf`	Integrality Gaps for Random Integer Programs via Discrepancy. SODA Sander Borst, Daniel Dadush, Dan Mikulincer
2023	A	`conf`	Is This Correct? Let's Check! ITCS Omri Ben-Eliezer, Dan Mikulincer, Elchanan Mossel, Madhu Sudan
2023	A*	`conf`	Noise Stability on the Boolean Hypercube via a Renormalized Brownian Motion. STOC Ronen Eldan, Dan Mikulincer, Prasad Raghavendra
2023	J	`jnl`	Time Lower Bounds for the Metropolis Process and Simulated Annealing. CoRR Zongchen Chen, Dan Mikulincer, Daniel Reichman, Alexander S. Wein
2022	A*	`conf`	Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions. NeurIPS Omri Ben-Eliezer, Dan Mikulincer, Ilias Zadik
2022	J	`jnl`	Archimedes Meets Privacy: On Privately Estimating Quantiles in High Dimensions Under Minimal Assumptions. CoRR Omri Ben-Eliezer, Dan Mikulincer, Ilias Zadik
2022	J	`jnl`	Community detection and percolation of information in a geometric setting. Comb. Probab. Comput. Ronen Eldan, Dan Mikulincer, Hester Pieters
2022	J	`jnl`	Is this correct? Let's check! CoRR Omri Ben-Eliezer, Dan Mikulincer, Elchanan Mossel, Madhu Sudan
2022	J	`jnl`	Noise stability on the Boolean hypercube via a renormalized Brownian motion. CoRR Ronen Eldan, Dan Mikulincer, Prasad Raghavendra
2022	A*	`conf`	Size and depth of monotone neural networks: interpolation and approximation. NeurIPS Dan Mikulincer, Daniel Reichman
2022	J	`jnl`	Size and depth of monotone neural networks: interpolation and approximation. CoRR Dan Mikulincer, Daniel Reichman
2021	A*	`conf`	Non-asymptotic approximations of neural networks by Gaussian processes. COLT Ronen Eldan, Dan Mikulincer, Tselil Schramm
2021	J	`jnl`	Non-asymptotic approximations of neural networks by Gaussian processes. CoRR Ronen Eldan, Dan Mikulincer, Tselil Schramm
2020	J	`jnl`	Community detection and percolation of information in a geometric setting. CoRR Ronen Eldan, Dan Mikulincer, Hester Pieters
2020	A*	`conf`	How to Trap a Gradient Flow. COLT Sébastien Bubeck, Dan Mikulincer
2020	J	`jnl`	How to trap a gradient flow. CoRR Sébastien Bubeck, Dan Mikulincer
2020	A*	`conf`	Network size and size of the weights in memorization with two-layers neural networks. NeurIPS Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer
2020	J	`jnl`	Network size and weights size for memorization with two-layers neural networks. CoRR Sébastien Bubeck, Ronen Eldan, Yin Tat Lee, Dan Mikulincer
2019	J	`jnl`	Stability of the Shannon-Stam inequality via the Föllmer process. CoRR Ronen Eldan, Dan Mikulincer
2016	J	`jnl`	Information and dimensionality of anisotropic random geometric graphs. CoRR Ronen Eldan, Dan Mikulincer