List of Publications

For a list of code releases, see our research page.

Early Drafts/Preprints

  • Optimistic Estimation of Convergence in Markov Chains with the Average-Mixing Time,
    (Preprint) G. Wolfer, P. Alquier [arXiv]
  • Dimension-free Bounds for Sum of Dependent Matrices and Operators with Heavy-Tailed Distribution,
    (Preprint) S. Nigikata, P. Alquier, M. Imaizuimi [arXiv]
  • Variance-Aware Estimation of Kernel Mean Embedding,
    (Preprint) G. Wolfer, P. Alquier [arXiv]
  • Optimal Quasi-Bayesian Reduced Rank Regression with Incomplete Response,
    (Preprint) T. T. Mai, P. Alquier [arXiv]
  • Concentration and Robustness of Discrepancy-based ABC via Rademacher Complexity,
    (Preprint) S. Legramanti, D. Durante, P. Alquier [arXiv]

In press / to appear

2024

2023

2022

  • Sequential Learning in GPs with Memory and Bayesian Leverage Score,
    (Continual Lifelong Workshop at ACML 2022) P. Verma, P. E. Chang, A. Solin, M.E. Khan [ OpenReview ]
  • MasakhaNER 2.0: Africa-centric Transfer Learning for Named Entity Recognition,
    (EMNLP 2022) D. Adelani, G. Neubig, S. Ruder, S. Rijhwani, M. Beukman, C. Palen-Michel, C. Lignos, J. Alabi, S. Muhammad, P. Nabende, B. Dione, A. Bukula, R. Mabuya, B. Dossou, B. Sibanda, H. Buzaaba, ..... [arXiv]
  • Practical Structured Riemannian Optimization with Momentum by using Generalized Normal Coordinates,
    (NeuReps Workshop at NeurIPS 2022) W. Lin, V. Duruisseaux, M. Leok, F. Nielsen, M.E. Khan, M. Schmidt [ OpenReview ]
  • Can Calibration Improve Sample Prioritization?,
    (HITY Workshop at NeurIPS 2022) G. Tata, G. K. Gudur, G. Chennupati, M.E. Khan [ OpenReview ]
  • Exploiting Inferential Structure in Neural Processes,
    (Workshop on Tractable Probabilistic Modeling at UAI 2022 ) D. Tailor, M.E. Khan, E. Nalisnick [ OpenReview ] [Video] [Poster]
  • Deviation Inequalities for Stochastic Approximation by Averaging,
    (SPA) X. Fan, P. Alquier, P. Doukhan [Published version] [arXiv]
  • Understanding the Population Structure Correction Regression,
    (ICSTA 2022) T. T. Mai, P. Alquier [Published version] [arXiv]
  • Approximate Bayesian Inference: Reprint of the Special Issue Published in Entropy,
    (MDPI Books) P. Alquier (Editor) [Book page]
  • Tight Risk Bound for High Dimensional Time Series Completion,
    (EJS) P. Alquier, N. Marie, A. Rosier [Published version] [arXiv]
  • Finite Sample Properties of Parametric MMD Estimation: Robustness to Misspecification and Dependence,
    (Bernoulli) B.E. Chérief-Abdellatif, P. Alquier [Published version] [arXiv]

2021

2020

2019

2018

2017