Revisiting Incremental Stochastic Majorization-Minimization Algorithms with Applications to Mixture of Experts
2026 · arXiv preprint arXiv:2601.19811
Publications
Publications
Full grouped catalogue across 8 CV subsections covering 40 outputs in total.
Scalability and robustness in scientific statistical machine learningModel selectionApproximation capabilities and convergence rates of the mixture of experts modelsDeep neural networksSimulation-based inferenceAsymptotic statisticsBayesian nonparametricsMissing data
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Catalogue
40 outputs grouped across 8 CV subsections.
Scalability and robustness in scientific statistical machine learning
Preprint
Fast Model Selection and Stable Optimization for Softmax-Gated Multinomial-Logistic Mixture of Experts Models
2026 · arXiv preprint arXiv:2602.07997
Bayesian Parameter Balancing Enables Robust and Consistent Estimation of Kinetic Parameter Uncertainty
2026 · bioRxiv
StructSAM: Structure- and Spectrum-Preserving Token Merging for Segment Anything Models
2026 · ICML 2026 Workshop on AdaptFM: Resource-Adaptive Foundation Model Inference
Lambda-PSD: Scalable Approximate SNR-Optimised Polynomial Stein Discrepancies
2026 · ICML 2026 Workshop on Hypothesis Testing
StructSAM: Structure-and Spectrum-Preserving Token Merging for Segment Anything Models
2026 · arXiv preprint arXiv:2603.07307
Dendrograms of Mixing Measures for Softmax-Gated Gaussian Mixture of Experts: Consistency Without Model Sweeps
2026 · Proceedings of The 29th International Conference on Artificial Intelligence and Statistics, AISTATS 2026 Spotlight Acceptance rate 2.5% over 2102 submissions.
Model Selection for Gaussian-gated Gaussian Mixture of Experts Using Dendrograms of Mixing Measures
2025 · arXiv preprint arXiv:2505.13052
Accelerating Transformers with Spectrum-Preserving Token Merging
2024 · Advances in Neural Information Processing Systems, NeurIPS 2024 Acceptance rate 25.8% over 15671 submissions.
HyperRouter: Towards Efficient Training and Inference of Sparse Mixture of Experts
2023 · Proceedings of the 2023 Empirical Methods in Natural Language Processing, EMNLP 2023 Main Acceptance rate 14% over 1041 submissions.
Model selection
Modifications of the BIC for order selection in finite mixture models
2026 · Annals of the Institute of Statistical Mathematics
On the large-sample limits of some Bayesian model evaluation statistics
2026 · Econometrics and Statistics
A non-asymptotic risk bound for model selection in high-dimensional mixture of experts via joint rank and variable selection
2023 · Australasian Joint Conference on Artificial Intelligence 2023, AJCAI 2023 Long Oral Presentation Acceptance rate 11% over 213 submissions.
A non-asymptotic approach for model selection via penalization in high-dimensional mixture of experts models
2022 · Electronic Journal of Statistics
Model selection by penalization in mixture of experts models with a non-asymptotic approach
2022 · JDS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique (SFdS)
Model Selection and Approximation in High-dimensional Mixtures of Experts Models: From Theory to Practice
2021 · PhD Thesis, Normandie Université
An l1-oracle inequality for the Lasso in high-dimensional mixtures of experts models
2020 · arXiv preprint arXiv:2009.10622
Approximation capabilities and convergence rates of the mixture of experts models
Approximation rates for finite mixtures of location-scale models
2025 · arXiv preprint arXiv:2508.10612
Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts
2024 · Proceedings of The 27th International Conference on Artificial Intelligence and Statistics, AISTATS 2024 Acceptance rate 27.6% over 1980 submissions.
A General Theory for Softmax Gating Multinomial Logistic Mixture of Experts
2024 · Proceedings of the 41st International Conference on Machine Learning, ICML 2024 Acceptance rate 27.5% over 9473 submissions.
Risk Bounds for Mixture Density Estimation on Compact Domains via the h-Lifted Kullback-Leibler Divergence
2024 · Transactions on Machine Learning Research
Demystifying Softmax Gating Function in Gaussian Mixture of Experts
2023 · Advances in Neural Information Processing Systems, NeurIPS 2023 Spotlight Acceptance rate 3.6% over 12343 submissions.
Approximation of probability density functions via location-scale finite mixtures in Lebesgue spaces
2022 · Communications in Statistics - Theory and Methods
Approximations of conditional probability density functions in Lebesgue spaces via mixture of experts models
2021 · Journal of Statistical Distributions and Applications
Approximation by finite mixtures of continuous density functions that vanish at infinity
2020 · Cogent Mathematics & Statistics
Deep neural networks
FACET: A Fragment-Aware Conformer Ensemble Transformer
2026 · The Fourteenth International Conference on Learning Representations, ICLR 2026 Acceptance rate 28% over close to 19000 submissions.
From Fragments to Geometry: A Unified Graph Transformer for Molecular Representation from Conformer Ensembles
2025 · ICML 2025 Generative AI and Biology (GenBio) Workshop
Enriched Instruction-Following Graph Alignment for Efficient Medical Vision-Language Models
2025 · ICML 2025 Workshop on Multi-modal Foundation Models and Large Language Models for Life Sciences
LoGra-Med: Long Context Multi-Graph Alignment for Medical Vision-Language Model
2025 · Advances in Neural Information Processing Systems, NeurIPS 2025 Acceptance rate 24.52% over 21575 submissions.
CompeteSMoE--Effective Training of Sparse Mixture of Experts via Competition
2024 · arXiv preprint arXiv:2402.02526
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
2024 · Proceedings of the 41st International Conference on Machine Learning, ICML 2024 Acceptance rate 27.5% over 9473 submissions.
Simulation-based inference
Revisiting Concentration Results for Approximate Bayesian Computation
2025 · Bayesian Analysis
Bayesian Likelihood Free Inference using Mixtures of Experts
2024 · International Joint Conference on Neural Networks, IJCNN 2024 Acceptance rate 52% over 3272 submissions.
Mixture of expert posterior surrogates for approximate Bayesian computation
2022 · JDS 2022 - 53èmes Journées de Statistique de la Société Française de Statistique (SFdS)
Summary statistics and discrepancy measures for approximate Bayesian computation via surrogate posteriors
2022 · Statistics and Computing
Approximate Bayesian computation with surrogate posteriors
2021 · ISBA 2021 - World Meeting of the International Society for Bayesian Analysis
Asymptotic statistics
On the Asymptotic Distribution of the Minimum Empirical Risk
2024 · Proceedings of the 41st International Conference on Machine Learning, ICML 2024 Acceptance rate 27.5% over 9473 submissions.
Bayesian nonparametrics
Bayesian nonparametric mixture of experts for inverse problems
2024 · Journal of Nonparametric Statistics
Bayesian nonparametric mixture of experts for high-dimensional inverse problems
2022 · BNP13 – 13th Conference on Bayesian Nonparametrics
Missing data
A Unified Framework for Variable Selection in Model-Based Clustering with Missing Not at Random
2025 · Advances in Neural Information Processing Systems, NeurIPS 2025 Acceptance rate 24.52% over 21575 submissions.