Smoothed analysis of the low-rank approach for smooth semidefinite programs. - Thomas Pumir; Samy Jelassi; Nicolas Boumal (NeurIPS, 2018)

Neuron birth-death dynamics accelerates gradient descent and converges asymptotically. - Grant M. Rotskoff; Samy Jelassi; Joan Bruna; Eric Vanden-Eijnden (ICML, 2019)

Towards closing the gap between the theory and practice of SVRG. - Othmane Sebbouh; Nidham Gazagnadou; Samy Jelassi; Francis R. Bach; Robert M. Gower (NeurIPS, 2019)

Global convergence of neuron birth-death dynamics. - Grant M. Rotskoff; Samy Jelassi; Joan Bruna; Eric Vanden-Eijnden (CoRR, 2019)

Extra-gradient with player sampling for provable fast convergence in n-player games. - Samy Jelassi; Carles Domingo-Enrich; Damien Scieur; Arthur Mensch; Joan Bruna (CoRR, 2019)

Extra-gradient with player sampling for faster convergence in n-player games. - Samy Jelassi; Carles Domingo-Enrich; Damien Scieur; Arthur Mensch; Joan Bruna (ICML, 2020)

A mean-field analysis of two-player zero-sum games. - Carles Domingo-Enrich; Samy Jelassi; Arthur Mensch; Grant M. Rotskoff; Joan Bruna (NeurIPS, 2020)

Dual Averaging is Surprisingly Effective for Deep Learning Optimization. - Samy Jelassi; Aaron Defazio (CoRR, 2020)

A Permutation-Equivariant Neural Network Architecture For Auction Design. - Jad Rahme; Samy Jelassi; Joan Bruna; S. Matthew Weinberg (AAAI, 2021)

Auction Learning as a Two-Player Game. - Jad Rahme; Samy Jelassi; S. Matthew Weinberg (ICLR, 2021)

Adaptivity without Compromise: A Momentumized, Adaptive, Dual Averaged Gradient Method for Stochastic Optimization. - Aaron Defazio; Samy Jelassi (CoRR, 2021)

Towards understanding how momentum improves generalization in deep learning. - Samy Jelassi; Yuanzhi Li (ICML, 2022)

Vision Transformers provably learn spatial structure. - Samy Jelassi; Michael E. Sander; Yuanzhi Li (NeurIPS, 2022)

Dissecting adaptive methods in GANs. - Samy Jelassi; David Dobre; Arthur Mensch; Yuanzhi Li; Gauthier Gidel (CoRR, 2022)

A Momentumized, Adaptive, Dual Averaged Gradient Method. - Aaron Defazio; Samy Jelassi (J. Mach. Learn. Res., 2022)

Depth separation beyond radial functions. - Luca Venturi; Samy Jelassi; Tristan Ozuch; Joan Bruna (J. Mach. Learn. Res., 2022)

Depth Dependence of μP Learning Rates in ReLU MLPs. - Samy Jelassi; Boris Hanin; Ziwei Ji; Sashank J. Reddi; Srinadh Bhojanapalli; Sanjiv Kumar (CoRR, 2023)

Length Generalization in Arithmetic Transformers. - Samy Jelassi; Stéphane d'Ascoli; Carles Domingo-Enrich; Yuhuai Wu; Yuanzhi Li; François Charton (CoRR, 2023)

Algorithmic and architectural implicit biases in deep learning - Samy Jelassi (2023)

Q-Probe: A Lightweight Approach to Reward Maximization for Language Models. - Kenneth Li 002; Samy Jelassi; Hugh Zhang; Sham M. Kakade; Martin Wattenberg; David Brandfonbrener (ICML, 2024)

Repeat After Me: Transformers are Better than State Space Models at Copying. - Samy Jelassi; David Brandfonbrener; Sham M. Kakade; Eran Malach (ICML, 2024)

How Does Overparameterization Affect Features? - Ahmet Cagri Duzgun; Samy Jelassi; Yuanzhi Li (CoRR, 2024)

Universal Length Generalization with Turing Programs. - Kaiying Hou; David Brandfonbrener; Sham M. Kakade; Samy Jelassi; Eran Malach (CoRR, 2024)

Collective Model Intelligence Requires Compatible Specialization. - Jyothish Pari; Samy Jelassi; Pulkit Agrawal 001 (CoRR, 2024)

LoRA Soups: Merging LoRAs for Practical Skill Composition Tasks. - Akshara Prabhakar; Yuanzhi Li; Karthik Narasimhan; Sham M. Kakade; Eran Malach; Samy Jelassi (COLING (Industry), 2025)

Mixture of Parrots: Experts improve memorization more than reasoning. - Samy Jelassi; Clara Mohri; David Brandfonbrener; Alex Gu; Nikhil Vyas 001; Nikhil Anand; David Alvarez-Melis; Yuanzhi Li; Sham M. Kakade; Eran Malach (ICLR, 2025)

The Role of Sparsity for Length Generalization in Transformers. - Noah Golowich; Samy Jelassi; David Brandfonbrener; Sham M. Kakade; Eran Malach (CoRR, 2025)

To Backtrack or Not to Backtrack: When Sequential Search Limits Model Reasoning. - Tian Qin; David Alvarez-Melis; Samy Jelassi; Eran Malach (CoRR, 2025)

Echo Chamber: RL Post-training Amplifies Behaviors Learned in Pretraining. - Rosie Zhao; Alexandru Meterez; Sham M. Kakade; Cengiz Pehlevan; Samy Jelassi; Eran Malach (CoRR, 2025)

Let Me Think! A Long Chain-of-Thought Can Be Worth Exponentially Many Short Ones. - Parsa Mirtaheri; Ezra Edelman; Samy Jelassi; Eran Malach; Enric Boix-Adserà (CoRR, 2025)