Lénaïc Chizat
15 papers · 2018–2024 · 4 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
🐣 Hot Topic Early Bird 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🏃 Academic Marathon (6) 🐝 Cross-Pollinator (9)
🗺️
Taxonomy Completionist
(20)
🌍
Conference Polyglot
(4)
💎
Century Club
(15)
🗃️
Keyword Collector
(74)
⚡
Prolific Year
(6)
Conferences
NIPS (10)
COLT (2)
JMLR (2)
AISTATS (1)
Top co-authors
Keywords
gradient descent
(5)
optimal transport
(4)
neural network
(3)
neural network optimization
(2)
entropic regularization
(2)
convex optimization
(2)
sinkhorn divergence
(2)
zero-sum game
(2)
feature learning
(2)
wasserstein distance
(2)
gradient-based method
(1)
nash equilibrium
(1)
neural network training
(1)
neural tangent kernel
(1)
sample complexity
(1)
bilevel optimization
(1)
global convergence
(1)
hyperparameter tuning
(1)
logistic loss
(1)
trajectory inference
(1)
Papers
Training Integrable Parameterizations of Deep Neural Networks in the Infinite-Width Limit
JMLR 2024
Mean-Field Langevin Dynamics for Signed Measures via a Bilevel Approach
NIPS 2024
The Feature Speed Formula: a flexible approach to scale hyper-parameters of deep neural networks
NIPS 2024
Deep linear networks for regression are implicitly regularized towards flat minima
NIPS 2024
Open problem: Convergence of single-timescale mean-field Langevin descent-ascent for two-player zero-sum games
COLT 2024
On the Effect of Initialization: The Scaling Path of 2-Layer Neural Networks
JMLR 2024
Local Convergence of Gradient Methods for Min-Max Games: Partial Curvature Generically Suffices
NIPS 2023
Computational Guarantees for Doubly Entropic Wasserstein Barycenters
NIPS 2023
Trajectory Inference via Mean-field Langevin in Path Space
NIPS 2022
Faster Wasserstein Distance Estimation with the Sinkhorn Divergence
NIPS 2020
Implicit Bias of Gradient Descent for Wide Two-layer Neural Networks Trained with the Logistic Loss
COLT 2020
Statistical and Topological Properties of Sliced Probability Divergences
NIPS 2020
Sample Complexity of Sinkhorn Divergences
AISTATS 2019
On Lazy Training in Differentiable Programming
NIPS 2019
On the Global Convergence of Gradient Descent for Over-parameterized Models using Optimal Transport
NIPS 2018