Grossglauser, Matthias

18 publications

UAI 2025 Efficiently Escaping Saddle Points for Policy Optimization Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Niao He, Matthias Grossglauser

ICML 2025 Hierarchical Reinforcement Learning with Targeted Causal Interventions Mohammadsadegh Khorasani, Saber Salehkaleybar, Negar Kiyavash, Matthias Grossglauser

UAI 2025 Measuring IIA Violations in Similarity Choices with Bayesian Models Hugo Sales Correa, Suryanarayana Sankagiri, Daniel R. Figueiredo, Matthias Grossglauser

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

ICML 2025 Recommendations with Sparse Comparison Data: Provably Fast Convergence for Nonconvex Matrix Factorization Suryanarayana Sankagiri, Jalal Etesami, Matthias Grossglauser

NeurIPS 2024 Causal Effect Identification in a Sub-Population with Latent Variables Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash, Matthias Grossglauser

UAI 2024 Fast Interactive Search Under a Scale-Free Comparison Oracle Daniyar Chumbalov, Lars Klein, Lucas Maystre, Matthias Grossglauser

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

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

ICML 2020 Scalable and Efficient Comparison-Based Search Without Features Daniyar Chumbalov, Lucas Maystre, Matthias Grossglauser

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

ICML 2017 ChoiceRank: Identifying Preferences from Node Traffic in Networks Lucas Maystre, Matthias Grossglauser

ICML 2017 Just Sort It! a Simple and Effective Approach to Active Preference Learning Lucas Maystre, Matthias Grossglauser

ACML 2016 Collaborative Recurrent Neural Networks for Dynamic Recommender Systems Young-Jun Ko, Lucas Maystre, Matthias Grossglauser

NeurIPS 2015 Fast and Accurate Inference of Plackett–Luce Models Lucas Maystre, Matthias Grossglauser