Publications in top ML conferences in 2021:

Neurips: Conference on Neural Information Processing Systems

  • Aymen Al Marjani, Aurélien Garivier, Alexandre Proutiere. Navigating to the Best Policy in Markov Decision Processes

  • Ayoub Belhadji. An analysis of Ermakov-Zolotukhin quadrature using kernels

  • Corentin Kervadec, Christian Wolf. Grigory Antipov, Moez Baccouche and Madiha Nadri. Supervising the Transfer of Reasoning Patterns in VQA.

  • Quentin Merigot, Filippo Santambrogio, Clément Sarrazin.Non-asymptotic convergence bounds for Wasserstein approximation using point clouds.

  • Aadil Oufkir, Omar Fawzi, Nicolas Flammarion, Aurélien Garivier. Sequential Algorithms for Testing Closeness of Distributions

  • Yoan Russac, Christina Katsimerou, Dennis Bohle, Olivier Cappé, Aurélien Garivier, Wouter M Koolen. A A/B/n Testing with Control in the Presence of Subpopulations

  • Paul Viallard, Guillaume Eric Vidot, Amaury Habrard, Emilie Morvant. A PAC-Bayes Analysis of Adversarial Robustness

  • Valentina Zantedeschi, Paul Viallard, Emilie Morvant, Rémi Emonet, Amaury Habrard, Pascal Germain, Benjamin Guedj. Learning Stochastic Majority Votes by Minimizing a PAC-Bayes Generalization Bound

ICML: International Conference on Machine Learning

  • Cédric Vincent-Cuaz, Titouan Vayer, Rémi Flamary, Marco Corneli, Nicolas Courty. Online Graph Dictionary Learning

ECML-PKDD: European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases

  • A. Azri, C. Favre, N. Harbi, J. Darmont, C. Nous. Calling to CNN-LSTM for Rumor Detection: A Deep Multi-channel Model for Message Veracity Classification in Microblogs

  • Tanguy Kerdoncuff, Rémi Emonet and Marc Sebban. Sampled Gromov Wasserstein

  • Gaël Poux, Julien Velcin, Sabine Loudcher. Information Interaction Profile of Choice Adoption

  • Paul Viallard, Pascal Germain, Amaury Habrard, Emilie Morvant. Self-bounding Majority Vote Learning Algorithms by the Direct Minimization of a Tight PAC-Bayesian C-Bound

ACML: Asian Conference on Machine Learning

  • Juliette Achddou, Olivier Cappé, Aurélien Garivier. Fast Rate Learning in Stochastic First Price Bidding.

  • Mariia Vladimirova, Julyan Arbel, Stéphane Girard. Bayesian neural network unit priors and generalized Weibull-tail property.

IJCAI: International Joint Conference on Artificial Intelligence

  • Tanguy Kerdoncuff, Rémi Emonet, Marc Sebban. Metric Learning in Optimal Transport for Domain Adaptation

  • Tomáš Kocák, Aurélien Garivier. Epsilon Best Arm Identification in Spectral Bandits.

  • Rémi Viola, Rémi Emonet, Amaury Habrard, Guillaume Metzler, Marc Sebban. Learning from Few Positives: a Provably Accurate Metric Learning Algorithm to Deal with Imbalanced Data

AISTATS: International Conference on Artificial Intelligence and Statistics

  • Charlotte Laclau, Ievgen Redko, Manvi Choudhary, Christine Largeron. All of the Fairness for Edge Prediction with Optimal Transport

  • Nina Vesseron, Ievgen Redko, Charlotte Laclau. Deep Neural Networks Are Congestion Games: From Loss Landscape to Wardrop Equilibrium and Beyond

CVPR: Conference on Computer Vision and Pattern Recognition

  • Corentin Kervadec, Théo Jaunet, Grigory Antipov, Moez Baccouche, Romain Vuillemot and Christian Wolf. How Transferrable are Reasoning Patterns in VQA?

  • Corentin Kervadec, Grigory Antipov, Moez Baccouche and Christian Wolf. Roses Are Red, Violets Are Blue... but Should VQA Expect Them To?

MLSP: Machine Learning for Signal Processing

  • Vincent Mauduit, Patrice Abry,  R Leonarduzzi, Stéphane Roux and E. Quemener. DCGAN for the synthesis of multivariate multifractal textures: How do we know it works?


Other conferences:

  • Juliette Achddou, Olivier Cappé, Aurélien Garivier.  Efficient Algorithms for Stochastic Repeated Second-price Auctions. Algorithmic Learning Theory (ALT)

  • A Barbe, P Gonçalves, M Sebban, P Borgnat, R Gribonval, T Vayer. Optimization of the Diffusion Time in Graph Diffused-Wasserstein Distances: Application to Domain Adaptation. IEEE International Conference ICTAI.

  • Clément Christophe, Julien Velcin, Jairo Cugliari, Philippe Suignard, Manel Boumghar. Monitoring geometrical properties of word embeddings for detecting the emergence of new topics. Conference on Empirical Methods in Natural Language Processing (EMNLP)

  • Y Kaloga, P Borgnat, SP Chepuri, P Abry, A Habrard. Multiview Variational Graph Autoencoders for Canonical Correlation Analysis. IEEE  ICASSP

  • Gaël Poux, Julien Velcin, Sabine Loudcher. Information Interactions in Outcome Prediction: Quantification and Interpretation using Stochastic Block Models. RecSys

  • Gaël Poux-Médard, Julien Velcin, Sabine Loudcher. Powered Hawkes-Dirichlet Process: Challenging Textual Clustering using a Flexible Temporal Prior. IEEE International Conference on Data Mining.

  • Enzo Terreau, Antoine Gourru, Julien Velcin. Writing Style Author Embedding Evaluation. 2nd Workshop on "Evaluation & Comparison of NLP Systems", co-located at EMNLP 2021.