Thiran, Patrick

18 publications

ICML 2025 Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control Sepehr Elahi, Paula Mürmann, Patrick Thiran

NeurIPS 2025 Optimal Graph Clustering Without Edge Density Signals Maximilien Dreveton, Elaine S. Liu, Matthias Grossglauser, Patrick Thiran

LoG 2025 Optimal Performance of Graph Convolutional Networks on the Contextual Stochastic Block Model Guillaume Dalle, Patrick Thiran

NeurIPS 2024 Fast Proxy Experiment Design for Causal Effect Identification Sepehr Elahi, Sina Akbari, Jalal Etesami, Negar Kiyavash, Patrick Thiran

TMLR 2024 Momentum-Based Policy Gradient with Second-Order Information Saber Salehkaleybar, Mohammadsadegh Khorasani, Negar Kiyavash, Niao He, Patrick Thiran

ICLR 2024 Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization Anthony Bardou, Patrick Thiran, Thomas Begin

NeurIPS 2024 This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization Anthony Bardou, Patrick Thiran, Giovanni Ranieri

COLT 2024 Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models Maximilien Dreveton, Alperen Gözeten, Matthias Grossglauser, Patrick Thiran

NeurIPS 2024 Why the Metric Backbone Preserves Community Structure Maximilien Dreveton, Charbel Chucri, Matthias Grossglauser, Patrick Thiran

ICLR 2023 Leveraging Unlabeled Data to Track Memorization Mahsa Forouzesh, Hanie Sedghi, Patrick Thiran

NeurIPS 2022 Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions Saeed Masiha, Saber Salehkaleybar, Niao He, Negar Kiyavash, Patrick Thiran

AISTATS 2021 A Variational Inference Approach to Learning Multivariate Wold Processes Jalal Etesami, William Trouleau, Negar Kiyavash, Matthias Grossglauser, Patrick Thiran

ICML 2021 Cumulants of Hawkes Processes Are Robust to Observation Noise William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran

ECML-PKDD 2021 Disparity Between Batches as a Signal for Early Stopping Mahsa Forouzesh, Patrick Thiran

ICML 2019 Learning Hawkes Processes Under Synchronization Noise William Trouleau, Jalal Etesami, Matthias Grossglauser, Negar Kiyavash, Patrick Thiran

NeurIPS 2019 Learning Hawkes Processes from a Handful of Events Farnood Salehi, William Trouleau, Matthias Grossglauser, Patrick Thiran

NeurIPS 2018 Coordinate Descent with Bandit Sampling Farnood Salehi, Patrick Thiran, Elisa Celis

ICML 2017 Dictionary Learning Based on Sparse Distribution Tomography Pedram Pad, Farnood Salehi, Elisa Celis, Patrick Thiran, Michael Unser