Mathieu Even - RankMe

33 papers A* 10A 2Journal 20

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Improved Analysis of the Accelerated Noisy Power Method with Applications to Decentralized PCA. CoRR Pierre Aguié, Mathieu Even, Laurent Massoulié
2026	J	`jnl`	Membership Inference Attacks from Causal Principles. CoRR Mathieu Even, Clément Berenfeld, Linus Bleistein, Tudor Cebere, Julie Josse, Aurélien Bellet
2026	J	`jnl`	Preference-based Conditional Treatment Effects and Policy Learning. CoRR Dovid Parnas, Mathieu Even, Julie Josse, Uri Shalit
2025	J	`jnl`	Asynchronous Speedup in Decentralized Optimization. IEEE Trans. Autom. Control. Mathieu Even, Hadrien Hendrikx, Laurent Massoulié
2025	A*	`conf`	Long-Context Linear System Identification. ICLR Oguz Kaan Yüksel, Mathieu Even, Nicolas Flammarion
2025	J	`jnl`	Meta-learning of shared linear representations beyond well-specified linear regression. CoRR Mathieu Even, Laurent Massoulié
2025	J	`jnl`	Model Agnostic Differentially Private Causal Inference. CoRR Christian Janos Lebeda, Mathieu Even, Aurélien Bellet, Julie Josse
2025	J	`jnl`	Noiseless Privacy-Preserving Decentralized Learning. Proc. Priv. Enhancing Technol. Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos
2024	A*	`conf`	Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem. NeurIPS Mathieu Even, Luca Ganassali, Jakob Maier, Laurent Massoulié
2024	J	`jnl`	Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem. CoRR Mathieu Even, Luca Ganassali, Jakob Maier, Laurent Massoulié
2024	A	`conf`	Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization. AISTATS Mathieu Even, Anastasia Koloskova, Laurent Massoulié
2024	J	`jnl`	Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes. CoRR Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos
2024	J	`jnl`	Long-Context Linear System Identification. CoRR Oguz Kaan Yüksel, Mathieu Even, Nicolas Flammarion
2024	A	`conf`	Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles. AISTATS Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulié
2024	—	`—`	Towards Decentralization, Asynchrony, Privacy and Personalization in Federated Learning. (Asynchronie, décentralisation, vie privée et personnalisation en apprentissage fédéré). Mathieu Even
2023	J	`jnl`	(S)GD over Diagonal Linear Networks: Implicit Regularisation, Large Stepsizes and Edge of Stability. CoRR Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
2023	A*	`conf`	(S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability. NeurIPS Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
2023	J	`jnl`	Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization. CoRR Mathieu Even, Anastasia Koloskova, Laurent Massoulié
2023	J	`jnl`	Generalization Error of First-Order Methods for Statistical Learning with Generic Oracles. CoRR Kevin Scaman, Mathieu Even, Laurent Massoulié
2023	A*	`conf`	Stochastic Gradient Descent under Markovian Sampling Schemes. ICML Mathieu Even
2023	J	`jnl`	Stochastic Gradient Descent under Markovian Sampling Schemes. CoRR Mathieu Even
2022	A*	`conf`	Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays. NeurIPS Konstantin Mishchenko, Francis R. Bach, Mathieu Even, Blake E. Woodworth
2022	J	`jnl`	Asynchronous SGD Beats Minibatch SGD Under Arbitrary Delays. CoRR Konstantin Mishchenko, Francis R. Bach, Mathieu Even, Blake E. Woodworth
2022	A*	`conf`	Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging. NeurIPS Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié
2022	J	`jnl`	Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging. CoRR Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié
2022	A*	`conf`	On Sample Optimality in Personalized Collaborative and Federated Learning. NeurIPS Mathieu Even, Laurent Massoulié, Kevin Scaman
2021	J	`jnl`	A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien B. Taylor
2021	A*	`conf`	Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization. COLT Mathieu Even, Laurent Massoulié
2021	J	`jnl`	Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization. CoRR Mathieu Even, Laurent Massoulié
2021	A*	`conf`	Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. NeurIPS Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor
2021	J	`jnl`	Decentralized Optimization with Heterogeneous Delays: a Continuous-Time Approach. CoRR Mathieu Even, Hadrien Hendrikx, Laurent Massoulié
2021	A*	`conf`	Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction. ICML Radu-Alexandru Dragomir, Mathieu Even, Hadrien Hendrikx
2020	J	`jnl`	Asynchrony and Acceleration in Gossip Algorithms. CoRR Mathieu Even, Hadrien Hendrikx, Laurent Massoulié