Foundation and Trends in ML:
- Learning in repeated auctions (Foundation and Trends in ML) – Thomas Nedelec, Clément Calauzènes, Noureddine El Karoui, Vianney Perchet, https://arxiv.org/abs/2011.09365
JMLR
- Multi-Agent Online Optimization with Delays: Asynchronicity, Adaptivity, and Optimism With Yu-Guan Hsieh, Franck Iutzeler, Jérôme Malick, Panayotis Mertikopoulos, JMLR, https://arxiv.org/abs/2012.11579
- Lessons from the AdKDD’21 Privacy-Preserving ML Challenge (WWW), Alexandre Gilotte, Jeremie Mary, Romain Fabre, Ugo Tanielian, Eustache Diemert, Basile Leparmentier, Qu Zhonghua, Fei Jia, Hui Yang. https://arxiv.org/pdf/2201.13123.pdf
- Efficient Kernelized UCB for Contextual Bandits (AISTATS), Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard. https://arxiv.org/abs/2202.05638
- Jointly Efficient and Optimal Algorithms for Logistic Bandits (AISTATS), Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes. https://arxiv.org/abs/2201.01985
- Statistical Depth Functions for Ranking Distributions: Definitions, Statistical Learning and Applications (AISTATS) – Morgane Goibert, Stéphan Clémençon, Ekhine Irurozki, Pavlo Mozharovskyi. Link: https://arxiv.org/pdf/2201.08105.pdf
- Encrypted Linear Contextual Bandit (AISTATS), Evrard Garcelon, Vianney Perchet, Matteo Pirotta. https://arxiv.org/pdf/2103.09927.pdf
- QLSD: Quantised Langevin Stochastic Dynamics for Bayesian Federated Learning (AISTATS) – Maxime Vono, Vincent Plassier, Alain Durmus, Aymeric Dieuleveut and Eric Moulines. Arxiv link: https://arxiv.org/pdf/2106.00797.pdf
- Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers. Alain Rakotomamonjy, Gilles Gasso, Rémi Flamary and Joseph Salmon. https://arxiv.org/pdf/2006.13533.pdf
- Privacy Amplification via Shuffling for Linear Contextual Bandits, Evrard Garcelon, Kamalika Chaudhuri, Vianney Perchet, and M. Pirotta. https://arxiv.org/pdf/2112.06008.pdf
- Social Learning in Non-Stationary Environments, Etienne Boursier, Vianney Perchet, Marco Scarsini. https://arxiv.org/pdf/2007.09996.pdf
- Asymptotic degradation of linear regression estimates with strategic data sources, Nicolas Gast, Patrick Loiseau, Panayotis Mertikopoulos, Benjamin Roussillon. ArXiv link: https://arxiv.org/abs/2106.14636
- Mapping Conditional Distributions For Domain Adaptation Under Generalized Target Shift, Matthieu Kirchmeyer, Alain Rakotomamonjy, Emmanuel de Bezenac, Patrick Gallinari. https://openreview.net/forum?id=sPfB2PI87BZ
- Constrained Physical-Statistics Models for Dynamical System Identification and Prediction – Jérémie DONA, Marie Déchelle, Patrick Gallinari, Marina Levy. https://openreview.net/forum?id=gbe1zHyA73¬eId=wyH122wlkj
- Scalable Sampling for Nonsymmetric Determinantal Point Processes – Insu Han, Mike Gartrell, Jennifer Gillenwater, Elvis Dohmatob, and Amin Karbasi. https://openreview.net/forum?id=BB4e8Atc1eR