Spremljaj
Ronen Eldan
Ronen Eldan
Preverjeni e-poštni naslov na weizmann.ac.il - Domača stran
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Leto
Sparks of artificial general intelligence: Early experiments with gpt-4
S Bubeck, V Chandrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ...
arXiv preprint arXiv:2303.12712, 2023
18292023
The power of depth for feedforward neural networks
R Eldan, O Shamir
Conference on learning theory, 907-940, 2016
9422016
Sparks of artificial general intelligence: Early experiments with GPT-4. arXiv
S Bubeck, V Chandrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar, ...
arXiv preprint arXiv:2303.12712, 2023
1982023
Textbooks are all you need
S Gunasekar, Y Zhang, J Aneja, CCT Mendes, A Del Giorno, S Gopi, ...
arXiv preprint arXiv:2306.11644, 2023
1742023
Kernel-based methods for bandit convex optimization
S Bubeck, YT Lee, R Eldan
Proceedings of the 49th Annual ACM SIGACT Symposium on Theory of Computing …, 2017
173*2017
Testing for high‐dimensional geometry in random graphs
S Bubeck, J Ding, R Eldan, MZ Rácz
Random Structures & Algorithms 49 (3), 503-532, 2016
1472016
Sampling from a log-concave distribution with projected Langevin Monte Carlo
S Bubeck, R Eldan, J Lehec
Discrete & Computational Geometry 59, 757-783, 2018
1442018
Thin shell implies spectral gap up to polylog via a stochastic localization scheme
R Eldan
Geometric and Functional Analysis 23 (2), 532-569, 2013
1332013
Textbooks are all you need ii: phi-1.5 technical report
Y Li, S Bubeck, R Eldan, A Del Giorno, S Gunasekar, YT Lee
arXiv preprint arXiv:2309.05463, 2023
972023
& Zhang, Y.(2023). Sparks of artificial general intelligence: Early experiments with gpt-4
S Bubeck, V Chandrasekaran, R Eldan, J Gehrke, E Horvitz, E Kamar
arXiv preprint arXiv:2303.12712, 0
84
Gaussian-width gradient complexity, reverse log-Sobolev inequalities and nonlinear large deviations
R Eldan
Geometric and Functional Analysis 28 (6), 1548-1596, 2018
832018
A two-sided estimate for the Gaussian noise stability deficit
R Eldan
Inventiones mathematicae 201, 561-624, 2015
832015
Multi-scale exploration of convex functions and bandit convex optimization
S Bubeck, R Eldan
Conference on Learning Theory, 583-589, 2016
822016
Tinystories: How small can language models be and still speak coherent english?
R Eldan, Y Li
arXiv preprint arXiv:2305.07759, 2023
742023
Approximately gaussian marginals and the hyperplane conjecture
R Eldan, B Klartag
Concentration, functional inequalities and isoperimetry 545, 55-68, 2011
652011
The entropic barrier: a simple and optimal universal self-concordant barrier
S Bubeck, R Eldan
arXiv preprint arXiv:1412.1587, 2014
632014
Localization schemes: A framework for proving mixing bounds for Markov chains
Y Chen, R Eldan
2022 IEEE 63rd Annual Symposium on Foundations of Computer Science (FOCS …, 2022
532022
A spectral condition for spectral gap: fast mixing in high-temperature Ising models
R Eldan, F Koehler, O Zeitouni
Probability theory and related fields 182 (3), 1035-1051, 2022
502022
Efficient algorithms for discrepancy minimization in convex sets
R Eldan, M Singh
Random Structures & Algorithms 53 (2), 289-307, 2018
502018
Finite-time analysis of projected Langevin Monte Carlo
S Bubeck, R Eldan, J Lehec
Advances in Neural Information Processing Systems 28, 2015
492015
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