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Model Agnostic Differentially Private Causal Inference
Christian Lebeda, Mathieu Even, Aurélien Bellet, Julie Josse
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Rethinking the Win Ratio A Causal Framework for Hierarchical Outcome Analysis
Mathieu Even, Julie Josse
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Long-Context Linear System Identification
Oğuz Kaan Yüksel, Mathieu Even, Nicolas Flammarion
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Asynchronous speedup in decentralized optimization
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Mathieu Even, Hadrien Hendrikx, Laurent Massoulié
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Asynchronous SGD on Graphs - a Unified Framework for Asynchronous Decentralized and Federated Optimization
Mathieu Even, Anastasia Koloskova, Laurent Massoulié
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Aligning Embeddings and Geometric Random Graphs, Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem
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Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
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Implicit Regularisation, Large Stepsizes and Edge of Stability for (S)GD over Diagonal Linear Networks
Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
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Stochastic Gradient Descent under Markov Chain Sampling Schemes
Mathieu Even
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Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays
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Konstantin Mischenko, Francis Bach, Mathieu Even, Blake Woodworth
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Muffliato Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging
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Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié
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