Copertina

Equivalence Testing Under Privacy Constraints

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Pareek, Savita, Insolia, Luca, Molinari, Roberto, Guerrier, Stéphane
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Applications Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Inference for Large Scale Regression Models with Dependent Errors
di: Voirol, Lionel, et al.
Pubblicazione: (2024)

Differentially Private Conformal Prediction via Quantile Binary Search
di: Romanus, Ogonnaya M., et al.
Pubblicazione: (2025)

Semiparametric Dynamic Copula Models for Portfolio Optimization
di: Pareek, Savita, et al.
Pubblicazione: (2025)

Blind Targeting: Personalization under Third-Party Privacy Constraints
di: Shchetkina, Anya
Pubblicazione: (2025)

ForeSWE: Forecasting Snow-Water Equivalent with an Uncertainty-Aware Attention Model
di: Thapa, Krishu K, et al.
Pubblicazione: (2025)

It's all In the (Exponential) Family: An Equivalence between Maximum Likelihood Estimation and Control Variates for Sketching Algorithms
di: Kang, Keegan, et al.
Pubblicazione: (2026)

An Analytical Approach to Privacy and Performance Trade-Offs in Healthcare Data Sharing
di: Wei, Yusi, et al.
Pubblicazione: (2025)

Bridging the Gap Between Climate Science and Machine Learning in Climate Model Emulation
di: Schmidt, Luca, et al.
Pubblicazione: (2026)

Federated Item Response Models: A Gradient-driven Privacy-preserving Framework for Distributed Psychometric Estimation
di: Zhou, Biying, et al.
Pubblicazione: (2025)

Variable Selection for Kernel Two-Sample Tests
di: Wang, Jie, et al.
Pubblicazione: (2023)

A Two-armed Bandit Framework for A/B Testing
di: Wang, Jinjuan, et al.
Pubblicazione: (2025)

Inverse Control Constrained Optimization of Vessel Speed Decisions Under Environmental Risk: Evidence from Arctic Shipping
di: Pant, Mauli, et al.
Pubblicazione: (2026)

Multivariate Adjustments for Average Equivalence Testing
di: Boulaguiem, Younes, et al.
Pubblicazione: (2024)

Multivariate Adjustments for Average Equivalence Testing
di: Younes Boulaguiem, et al.
Pubblicazione: (2025)

Testing Generalizability in Causal Inference
di: Manela, Daniel de Vassimon, et al.
Pubblicazione: (2024)

BanditCAT and AutoIRT: Machine Learning Approaches to Computerized Adaptive Testing and Item Calibration
di: Sharpnack, James, et al.
Pubblicazione: (2024)

Federated Learning for Financial Forecasting
di: Noseda, Manuel, et al.
Pubblicazione: (2025)

Reliable Curation of EHR Dataset via Large Language Models under Environmental Constraints
di: Xiong, Raymond M., et al.
Pubblicazione: (2025)

Efficient and Debiased Learning of Average Hazard Under Non-Proportional Hazards
di: Meng, Xiang, et al.
Pubblicazione: (2026)

Bayesian Federated Cause-of-Death Classification and Quantification Under Distribution Shift
di: Zhu, Yu, et al.
Pubblicazione: (2025)

Testing and Improving the Robustness of Amortized Bayesian Inference for Cognitive Models
di: Wu, Yufei, et al.
Pubblicazione: (2024)

Leveraging generative adversarial networks with spatially adaptive denormalization for multivariate stochastic seismic data inversion
di: Miele, Roberto, et al.
Pubblicazione: (2025)

Fit CATE Once: Model-Assisted Randomization Tests Without Sample Splitting
di: Zheng, Fangnan, et al.
Pubblicazione: (2026)

A Unified Combination Framework for Dependent Tests with Applications to Microbiome Association Studies
di: Yu, Xiufan, et al.
Pubblicazione: (2024)

A variational inference framework for inverse problems
di: Maestrini, Luca, et al.
Pubblicazione: (2021)

Ranking by Lifts: A Cost-Benefit Approach to Large-Scale A/B Tests
di: Basu, Pallavi, et al.
Pubblicazione: (2024)

Optimal Sampling for Generalized Linear Model under Measurement Constraint with Surrogate Variables
di: Shen, Yixin, et al.
Pubblicazione: (2025)

Online model learning with data-assimilated reservoir computers
di: Nóvoa, Andrea, et al.
Pubblicazione: (2025)

A Bayesian Spatial Model to Correct Under-Reporting in Urban Crowdsourcing
di: Agostini, Gabriel, et al.
Pubblicazione: (2023)

Viral Load Inference in Non-Adaptive Pooled Testing
di: Sheikh, Mansoor, et al.
Pubblicazione: (2024)

Privacy-Preserving Customer Support: A Framework for Secure and Scalable Interactions
di: Awasthi, Anant Prakash, et al.
Pubblicazione: (2024)

E-valuator: Reliable Agent Verifiers with Sequential Hypothesis Testing
di: Sadhuka, Shuvom, et al.
Pubblicazione: (2025)

Learning Metrics that Maximise Power for Accelerated A/B-Tests
di: Jeunen, Olivier, et al.
Pubblicazione: (2024)

Improving the Estimation of Lifetime Effects in A/B Testing via Treatment Locality
di: Chen, Shuze, et al.
Pubblicazione: (2024)

Identifying and Estimating Causal Direct Effects Under Unmeasured Confounding
di: Boileau, Philippe, et al.
Pubblicazione: (2026)

Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learning
di: Feldman, Aaron O., et al.
Pubblicazione: (2025)

MC-GTA: Metric-Constrained Model-Based Clustering using Goodness-of-fit Tests with Autocorrelations
di: Wang, Zhangyu, et al.
Pubblicazione: (2024)

Prognostic Framework for Robotic Manipulators Operating Under Dynamic Task Severities
di: Mohanty, Ayush, et al.
Pubblicazione: (2024)

Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints
di: Raihan, Ahmed Shoyeb, et al.
Pubblicazione: (2025)

Reinforcement Learning from Human Feedback with High-Confidence Safety Constraints
di: Chittepu, Yaswanth, et al.
Pubblicazione: (2025)