Patrick Thiran
14 papers · 2017–2025 · 5 conferences · across top CS/AI conferences
Achievements
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🏃 Academic Marathon (8) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (6)
🏃
Academic Marathon
(8)
🧭
Keyword Pioneer
🐝
Cross-Pollinator
(6)
🏆
Keyword Champion
(2)
🔥
Unstoppable
(5)
💎
Century Club
(14)
⚡
Prolific Year
(5)
🗃️
Keyword Collector
(68)
Conferences
NIPS (6)
ICML (4)
ICLR (2)
AISTATS (1)
COLT (1)
Top co-authors
Keywords
variational inference
(2)
causal structure
(2)
multivariate hawkes process
(2)
point process
(2)
stochastic optimization
(2)
bayesian inference
(2)
stochastic process
(2)
event sequence
(2)
black-box optimization
(1)
community detection
(1)
stochastic gradient descent
(1)
image denoising
(1)
posterior distribution
(1)
network analysis
(1)
sample complexity
(1)
sparse representation
(1)
reinforcement learning
(1)
experimental design
(1)
variance reduction
(1)
bregman divergence
(1)
Papers
Learn to Vaccinate: Combining Structure Learning and Effective Vaccination for Epidemic and Outbreak Control
ICML 2025
Universal Lower Bounds and Optimal Rates: Achieving Minimax Clustering Error in Sub-Exponential Mixture Models
COLT 2024
Why the Metric Backbone Preserves Community Structure
NIPS 2024
This Too Shall Pass: Removing Stale Observations in Dynamic Bayesian Optimization
NIPS 2024
Fast Proxy Experiment Design for Causal Effect Identification
NIPS 2024
Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization
ICLR 2024
Leveraging Unlabeled Data to Track Memorization
ICLR 2023
Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions
NIPS 2022
Cumulants of Hawkes Processes are Robust to Observation Noise
ICML 2021
A Variational Inference Approach to Learning Multivariate Wold Processes
AISTATS 2021
Learning Hawkes Processes Under Synchronization Noise
ICML 2019
Learning Hawkes Processes from a handful of events
NIPS 2019
Coordinate Descent with Bandit Sampling
NIPS 2018
Dictionary Learning Based on Sparse Distribution Tomography
ICML 2017