meyer scetbon
16 papers · 2019–2025 · 3 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30)
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Topic Evolution
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Century Club · Bronze
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Unstoppable · Bronze
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Keyword Collector
(89)
Venues
Top co-authors
Research topics
Machine Learning
(13)
Mathematics & Optimization
(10)
Optimization & Theory · Machine Learning
(10)
Core Methods
(8)
Optimization
(8)
Mathematics
(6)
Learning Types
(4)
Artificial Intelligence
(3)
Deep Learning
(3)
Core AI
(3)
Knowledge & Reasoning
(1)
Natural Language Processing
(1)
Architectures
(1)
Models
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
optimal transport
(6)
entropic regularization
(5)
kernel methods
(3)
entropy regularization
(3)
adversarial attack
(2)
reproducing kernel hilbert space
(2)
approximation error
(2)
low-rank approximation
(2)
point cloud
(1)
two-sample test
(1)
robustness
(1)
statistical testing
(1)
distribution comparison
(1)
gradient descent
(1)
regression
(1)
density estimation
(1)
linear regression
(1)
kernel matrix
(1)
spectral analysis
(1)
causal structure
(1)
Papers
SWAN: SGD with Normalization and Whitening Enables Stateless LLM Training
ICML 2025
A Fixed-Point Approach for Causal Generative Modeling
ICML 2024
Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
ICML 2024
Robust Linear Regression: Gradient-descent, Early-stopping, and Beyond
AISTATS 2023
Unbalanced Low-rank Optimal Transport Solvers
NeurIPS 2023
An Asymptotic Test for Conditional Independence using Analytic Kernel Embeddings
ICML 2022
Linear-Time Gromov Wasserstein Distances using Low Rank Couplings and Costs
ICML 2022
Low-rank Optimal Transport: Approximation, Statistics and Debiasing
NeurIPS 2022
Triangular Flows for Generative Modeling: Statistical Consistency, Smoothness Classes, and Fast Rates
AISTATS 2022
A Spectral Analysis of Dot-product Kernels
AISTATS 2021
Equitable and Optimal Transport with Multiple Agents
AISTATS 2021
Low-Rank Sinkhorn Factorization
ICML 2021
Mixed Nash Equilibria in the Adversarial Examples Game
ICML 2021
Harmonic Decompositions of Convolutional Networks
ICML 2020
Linear Time Sinkhorn Divergences using Positive Features
NeurIPS 2020
Comparing distributions: ℓ_1 geometry improves kernel two-sample testing
NeurIPS 2019