:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Chen, Yu-Wei, Sanghi, Pranav, Awan, Jordan
Format:	Preprint
Published:	2025
Subjects:	Computation
Online Access:	https://arxiv.org/abs/2505.00877
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Statistical Inference for Privatized Data with Unknown Sample Size
by: Awan, Jordan, et al.
Published: (2024)

Large-Sample Bayesian Approximations for Privatized Data
by: Awan, Jordan, et al.
Published: (2026)

Simulation-based, Finite-sample Inference for Privatized Data
by: Awan, Jordan, et al.
Published: (2023)

Differentially Private Covariate Balancing Causal Inference
by: Ohnishi, Yuki, et al.
Published: (2024)

Optimal Debiased Inference on Privatized Data via Indirect Estimation and Parametric Bootstrap
by: Wang, Zhanyu, et al.
Published: (2025)

Near-Optimal Private Tests for Simple and MLR Hypotheses
by: Chen, Yu-Wei, et al.
Published: (2026)

Differentially Private Bootstrap: New Privacy Analysis and Inference Strategies
by: Wang, Zhanyu, et al.
Published: (2022)

Optimal Survey Design for Private Mean Estimation
by: Chen, Yu-Wei, et al.
Published: (2025)

dapper: Data Augmentation for Private Posterior Estimation in R
by: Eng, Kevin, et al.
Published: (2024)

One Step to Efficient Synthetic Data
by: Awan, Jordan, et al.
Published: (2020)

Best Linear Unbiased Estimate from Privatized Contingency Tables
by: Awan, Jordan, et al.
Published: (2024)

Generative Filtering for Recursive Bayesian Inference with Streaming Data
by: Taylor, Ian, et al.
Published: (2023)

Beyond Data Splitting: Full-Data Conformal Prediction by Differential Privacy
by: Cho, Young Hyun, et al.
Published: (2026)

Searching for the Third Wheel: High-Contrast Imaging Constraints on Tertiaries to Black Hole and Neutron Star Binaries
by: Nagarajan, Pranav, et al.
Published: (2026)

Facility Location with Public Locations and Private Doubly-Peaked Costs
by: Cole, Richard, et al.
Published: (2025)

Estimating Perceptual Attributes of Haptic Textures Using Visuo-Tactile Data
by: Awan, Mudassir Ibrahim, et al.
Published: (2025)

ipd: An R Package for Conducting Inference on Predicted Data
by: Salerno, Stephen, et al.
Published: (2024)

Bullying the Machine: How Personas Increase LLM Vulnerability
by: Xu, Ziwei, et al.
Published: (2025)

On the Forgetting of Particle Filters
by: Karjalainen, Joona, et al.
Published: (2023)

Incentive-Theoretic Bayesian Inference for Collaborative Science
by: Bates, Stephen, et al.
Published: (2023)

Fiducial Matching: Differentially Private Inference for Categorical Data
by: Romanus, Ogonnaya Michael, et al.
Published: (2025)

Incomplete U-Statistics of Equireplicate Designs: Berry-Esseen Bound and Efficient Construction
by: Miglioli, Cesare, et al.
Published: (2025)

Optimizing Noise for $f$-Differential Privacy via Anti-Concentration and Stochastic Dominance
by: Awan, Jordan, et al.
Published: (2023)

Structure and Sensitivity in Differential Privacy: Comparing K-Norm Mechanisms
by: Awan, Jordan, et al.
Published: (2018)

Bayesian Inference of Reproduction Number from Epidemiological and Genetic Data Using Particle MCMC
by: Gill, Alicia, et al.
Published: (2023)

Antithetic Multilevel Particle Filters
by: Jasra, Ajay, et al.
Published: (2023)

A Gaussian Sum Filter for Unifying Gaussian and Particle Filters
by: Tsampourakis, Kostas, et al.
Published: (2026)

Differentially Private Bayesian Persuasion
by: Pan, Yuqi, et al.
Published: (2024)

Formal Privacy Guarantees with Invariant Statistics
by: Cho, Young Hyun, et al.
Published: (2024)

Inference Plans for Hybrid Particle Filtering
by: Cheng, Ellie Y., et al.
Published: (2024)

VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter Integration
by: Chen, Jian-Yu, et al.
Published: (2025)

SURGE: Approximation and Training Free Particle Filter for Diffusion Surrogate
by: Wei, Lifu, et al.
Published: (2026)

Dynamic Heuristic Neuromorphic Solver for the Edge User Allocation Problem with Bayesian Confidence Propagation Neural Network
by: Zhang, Kecheng, et al.
Published: (2026)

SOMA: A Novel Sampler for Bayesian Inference from Privatized Data
by: Xiong, Yifei, et al.
Published: (2025)

Simulation-based Bayesian Inference from Privacy Protected Data
by: Xiong, Yifei, et al.
Published: (2023)

Generative Bayesian Filtering and Parameter Learning
by: Marcelli, Edoardo, et al.
Published: (2025)

Attend-Fusion: Efficient Audio-Visual Fusion for Video Classification
by: Awan, Mahrukh, et al.
Published: (2024)

Differentiable Particle Filtering using Optimal Placement Resampling
by: Csuzdi, Domonkos, et al.
Published: (2024)

Differentially Private Online Bayesian Estimation With Adaptive Truncation
by: Yıldırım, Sinan
Published: (2023)

The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification
by: Mücke, Nikolaj T., et al.
Published: (2024)