Ronen Eldan | DeepAI

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∙ 09/11/2023

Textbooks Are All You Need II: phi-1.5 technical report

We continue the investigation into the power of smaller Transformer-base...

0 Yuanzhi Li, et al. ∙

∙ 05/12/2023

TinyStories: How Small Can Language Models Be and Still Speak Coherent English?

Language models (LMs) are powerful tools for natural language processing...

0 Ronen Eldan, et al. ∙

∙ 03/22/2023

Sparks of Artificial General Intelligence: Early experiments with GPT-4

Artificial intelligence (AI) researchers have been developing and refini...

6 Sébastien Bubeck, et al. ∙

∙ 12/01/2022

Hit-and-run mixing via localization schemes

We analyze the hit-and-run algorithm for sampling uniformly from an isot...

0 Yuansi Chen, et al. ∙

∙ 08/12/2022

Noise stability on the Boolean hypercube via a renormalized Brownian motion

We consider a variant of the classical notion of noise on the Boolean hy...

0 Ronen Eldan, et al. ∙

∙ 08/06/2022

An Optimal "It Ain't Over Till It's Over" Theorem

We study the probability of Boolean functions with small max influence t...

0 Ronen Eldan, et al. ∙

∙ 06/09/2022

Unveiling Transformers with LEGO: a synthetic reasoning task

We propose a synthetic task, LEGO (Learning Equality and Group Operation...

8 Yi Zhang, et al. ∙

∙ 04/14/2022

Isoperimetric Inequalities Made Simpler

We give an alternative, simple method to prove isoperimetric inequalitie...

0 Ronen Eldan, et al. ∙

∙ 03/08/2022

Localization Schemes: A Framework for Proving Mixing Bounds for Markov Chains

Two recent and seemingly-unrelated techniques for proving mixing bounds ...

0 Yuansi Chen, et al. ∙

∙ 02/17/2021

Non-asymptotic approximations of neural networks by Gaussian processes

We study the extent to which wide neural networks may be approximated by...

0 Ronen Eldan, et al. ∙

∙ 06/28/2020

Community detection and percolation of information in a geometric setting

We make the first steps towards generalizing the theory of stochastic bl...

0 Ronen Eldan, et al. ∙

∙ 06/23/2020

Reduction From Non-Unique Games To Boolean Unique Games

We reduce the problem of proving a "Boolean Unique Games Conjecture" (wi...

0 Ronen Eldan, et al. ∙

∙ 06/04/2020

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

In 1988, Eric B. Baum showed that two-layers neural networks with thresh...

12 Sébastien Bubeck, et al. ∙

∙ 09/26/2019

Concentration on the Boolean hypercube via pathwise stochastic analysis

We develop a new technique for proving concentration inequalities which ...

0 Ronen Eldan, et al. ∙

∙ 09/26/2019

Stability of Talagrand's influence inequality

We strengthen several classical inequalities concerning the influences o...

0 Ronen Eldan, et al. ∙

∙ 06/25/2019

Krivine diffusions attain the Goemans--Williamson approximation ratio

Answering a question of Abbasi-Zadeh, Bansal, Guruganesh, Nikolov, Schwa...

0 Ronen Eldan, et al. ∙

∙ 04/15/2019

Depth Separations in Neural Networks: What is Actually Being Separated?

Existing depth separation results for constant-depth networks essentiall...

10 Itay Safran, et al. ∙

∙ 03/17/2019

Stability of the Shannon-Stam inequality via the Föllmer process

We prove stability estimates for the Shannon-Stam inequality (also known...

0 Ronen Eldan, et al. ∙

∙ 06/24/2018

The CLT in high dimensions: quantitative bounds via martingale embedding

We introduce a new method for obtaining quantitative convergence rates f...

0 Ronen Eldan, et al. ∙

∙ 07/11/2016

Kernel-based methods for bandit convex optimization

We consider the adversarial convex bandit problem and we build the first...

0 Sébastien Bubeck, et al. ∙

∙ 12/12/2015

The Power of Depth for Feedforward Neural Networks

We show that there is a simple (approximately radial) function on ^d, ex...

0 Ronen Eldan, et al. ∙

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