Alain Oliviero Durmus
18 papers · 2023–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (31) 🌍 Conference Polyglot · Bronze 🏆 Keyword Champion (2) 🗃️ Keyword Collector (94)
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Prolific Year · Prolific
🌈
Renaissance Researcher
(6)
💎
Century Club · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(15)
Optimization & Theory
(12)
Deep Learning
(9)
Mathematics & Optimization
(8)
Models
(6)
Optimization
(5)
Artificial Intelligence
(4)
Mathematics
(3)
Computer Vision
(2)
Reinforcement Learning
(2)
Application Areas
(2)
Bayesian & Probabilistic
(2)
Core AI
(2)
Core Methods
(2)
Learning Types
(2)
Keywords
markov chain monte carlo
(4)
variational inference
(3)
diffusion model
(3)
markov chain
(3)
posterior sampling
(2)
multimodal distribution
(2)
posterior distribution
(1)
image segmentation
(1)
stochastic gradient
(1)
image captioning
(1)
deep learning
(1)
stochastic gradient descent
(1)
convex optimization
(1)
time series
(1)
gibbs sampling
(1)
image restoration
(1)
audio source separation
(1)
stationary distribution
(1)
mean squared error
(1)
representation learning
(1)
Papers
A Mixture-Based Framework for Guiding Diffusion Models
ICML 2025
Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms
ICML 2025
Discrete Markov Probabilistic Models: An Improved Discrete Score-Based Framework with sharp convergence bounds under minimal assumptions
ICML 2025
Heavy-Tailed Diffusion with Denoising Levy Probabilistic Models
ICLR 2025
Learned Reference-based Diffusion Sampler for multi-modal distributions
ICLR 2025
Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation
ICLR 2025
Personalized Convolutional Dictionary Learning of Physiological Time Series
AISTATS 2025
Prediction-Aware Learning in Multi-Agent Systems
ICML 2025
Refined Analysis of Constant Step Size Federated Averaging and Federated Richardson-Romberg Extrapolation
AISTATS 2025
Scaffold with Stochastic Gradients: New Analysis with Linear Speed-Up
ICML 2025
Variational Diffusion Posterior Sampling with Midpoint Guidance
ICLR 2025
Watermark Anything With Localized Messages
ICLR 2025
VITS : Variational Inference Thompson Sampling for contextual bandits
ICML 2024
Differentially Private Representation Learning via Image Captioning
ICML 2024
Incentivized Learning in Principal-Agent Bandit Games
ICML 2024
Stochastic Localization via Iterative Posterior Sampling
ICML 2024
Theoretical Guarantees for Variational Inference with Fixed-Variance Mixture of Gaussians
ICML 2024
On Sampling with Approximate Transport Maps
ICML 2023