:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Gaucher, Solenne, Blanchard, Gilles, Chazal, Frédéric
Format:	Preprint
Published:	2024
Subjects:	Methodology
Online Access:	https://arxiv.org/abs/2404.06093
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Change Point Detection for Cell Populations Measured via Flow Cytometry
by: Kei, Yik Lun, et al.
Published: (2026)

Mixtures of Neural Network Experts with Application to Phytoplankton Flow Cytometry Data
by: Pawl, Ethan, et al.
Published: (2025)

Demographic parity in regression and classification within the unawareness framework
by: Divol, Vincent, et al.
Published: (2024)

Transductive conformal inference with adaptive scores
by: Gazin, Ulysse, et al.
Published: (2023)

False discovery proportion envelopes with m-consistency
by: Meah, Iqraa, et al.
Published: (2023)

Transductive Conformal Inference for Full Ranking
by: Fermanian, Jean-Baptiste, et al.
Published: (2025)

A Topological Sorting Criterion for Random Causal Directed Acyclic Graphs
by: Reisach, Alexander G., et al.
Published: (2026)

Automated Gating for Flow Cytometry Data Using a Kernel-Smoothed EM Algorithm
by: de Sousa, Farhad, et al.
Published: (2025)

Confidence envelopes for the false discoveries with heterogeneous data
by: Périer, Romain, et al.
Published: (2026)

Non-Stationary Lipschitz Bandits
by: Nguyen, Nicolas, et al.
Published: (2025)

Robust Conformal Outlier Detection under Contaminated Reference Data
by: Bashari, Meshi, et al.
Published: (2025)

Contamination Bias in Linear Regressions
by: Goldsmith-Pinkham, Paul, et al.
Published: (2021)

Nonparametric Survival Estimation with Contaminated and Adjudicated Events
by: Bladt, Martin, et al.
Published: (2025)

Fréchet Mean Set Estimation in the Hausdorff Metric, via Relaxation
by: Blanchard, Moise, et al.
Published: (2022)

Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
by: Iong, Daniel, et al.
Published: (2024)

Improved Algorithms for Contextual Dynamic Pricing
by: Tullii, Matilde, et al.
Published: (2024)

A Contaminated Model for Overdispersed Multinomial Microbiome Count Data
by: van Heerden, Ockert, et al.
Published: (2026)

Heavy-tailed Contamination is Easier than Adversarial Contamination
by: Cherapanamjeri, Yeshwanth, et al.
Published: (2024)

Confidence Intervals for Linear Models with Arbitrary Noise Contamination
by: Xie, Dong, et al.
Published: (2025)

Posterior Robustness with Milder Conditions: Contamination Models Revisited
by: Hamura, Yasuyuki, et al.
Published: (2023)

Modeling Bounded Count Environmental Data Using a Contaminated Beta-Binomial Regression Model
by: Otto, Arnoldus F., et al.
Published: (2025)

Functional Regression with Nonstationarity and Error Contamination: Application to the Economic Impact of Climate Change
by: Nam, Kyungsik, et al.
Published: (2025)

Trend Filtered Mixture of Experts for Automated Gating of High-Frequency Flow Cytometry Data
by: Hyun, Sangwon, et al.
Published: (2025)

Robust and Adaptive Spectral Method for Representation Multi-Task Learning with Contamination
by: Huang, Yian, et al.
Published: (2025)

Heckman Selection Contaminated Normal Model
by: Lim, Heeju, et al.
Published: (2024)

Nonparametric intensity estimation of spatial point processes by random forests
by: Biscio, Christophe, et al.
Published: (2025)

Enhancing Forecasts Using Real-Time Data Flow and Hierarchical Forecast Reconciliation, with Applications to the Energy Sector
by: Neubauer, Lukas, et al.
Published: (2024)

Penalized Empirical Likelihood for Doubly Robust Causal Inference under Contamination in High Dimensions
by: Lee, Byeonghee, et al.
Published: (2025)

Fast Signal Region Detection with Application to Whole Genome Association Studies
by: Zhang, Wei, et al.
Published: (2023)

Topological Analysis for Detecting Anomalies (TADA) in Time Series
by: Chazal, Frédéric, et al.
Published: (2024)

Feature-Based Online Bilateral Trade
by: Gaucher, Solenne, et al.
Published: (2024)

Hybrid Bayesian Models for Community Detection with Application to a Colombian Conflict Network
by: Sosa, Juan, et al.
Published: (2025)

Fermat Distance-to-Measure: a robust Fermat-like metric
by: Taupin, Jérôme, et al.
Published: (2025)

Dynamic Supervised Principal Component Analysis for Classification
by: Ouyang, Wenbo, et al.
Published: (2024)

Supervised Integrative Biclustering with applications to Alzheimer's Disease
by: Yang, Kaifeng, et al.
Published: (2025)

Identifiability of linear stochastic state-space models with application to ecology
by: Barraquand, Frederic, et al.
Published: (2025)

Testing for the extent of instability in nearly unstable processes
by: Badreau, Marie, et al.
Published: (2023)

Semi-Supervised Learning of Noisy Mixture of Experts Models
by: Kwon, Oh-Ran, et al.
Published: (2024)

Adaptive Learning with Blockwise Missing and Semi-Supervised Data
by: Li, Yiming, et al.
Published: (2024)

Conditional Cauchy-Schwarz Divergence for Time Series Analysis: Kernelized Estimation and Applications in Clustering and Fraud Detection
by: Wang, Jiayi
Published: (2026)