Image de couverture de livre

Dimension Agnostic Testing of Survey Data Credibility through the Lens of Regression

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Basu, Debabrota, Chakraborty, Sourav, Chanda, Debarshi, Das, Buddha Dev, Ghosh, Arijit, Ray, Arnab
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Testing Credibility of Public and Private Surveys through the Lens of Regression
par: Basu, Debabrota, et autres
Publié: (2024)

Sublinear Algorithms for Wasserstein and Total Variation Distances: Applications to Fairness and Privacy Auditing
par: Basu, Debabrota, et autres
Publié: (2025)

Optimal non-adaptive algorithm for edge estimation
par: Bishnu, Arijit, et autres
Publié: (2025)

Stochastic Online Instrumental Variable Regression: Regrets for Endogeneity and Bandit Feedback
par: Della Vecchia, Riccardo, et autres
Publié: (2023)

Learning to Explore with Lagrangians for Bandits under Unknown Linear Constraints
par: Das, Udvas, et autres
Publié: (2024)

FLIPHAT: Joint Differential Privacy for High Dimensional Sparse Linear Bandits
par: Chakraborty, Sunrit, et autres
Publié: (2024)

Preference-based Pure Exploration
par: Shukla, Apurv, et autres
Publié: (2024)

Active Fourier Auditor for Estimating Distributional Properties of ML Models
par: Ajarra, Ayoub, et autres
Publié: (2024)

DP-SPRT: Differentially Private Sequential Probability Ratio Tests
par: Michel, Thomas, et autres
Publié: (2025)

FraPPE: Fast and Efficient Preference-based Pure Exploration
par: Das, Udvas, et autres
Publié: (2025)

Some Targets Are Harder to Identify than Others: Quantifying the Target-dependent Membership Leakage
par: Azize, Achraf, et autres
Publié: (2024)

Auditing Fairness under Model Updates: Fundamental Complexity and Property-Preserving Updates
par: Ajarra, Ayoub, et autres
Publié: (2026)

Asymptotically Optimal Sequential Testing with Markovian Data
par: Sethi, Alhad, et autres
Publié: (2026)

Isoperimetry is All We Need: Langevin Posterior Sampling for RL with Sublinear Regret
par: Jorge, Emilio, et autres
Publié: (2024)

Concentrated Differential Privacy for Bandits
par: Azize, Achraf, et autres
Publié: (2023)

Performative Policy Gradient: Optimality in Performative Reinforcement Learning
par: Basu, Debabrota, et autres
Publié: (2025)

Sequential Membership Inference Attacks
par: Michel, Thomas, et autres
Publié: (2026)

Lagrangian-based Equilibrium Propagation: generalisation to arbitrary boundary conditions & equivalence with Hamiltonian Echo Learning
par: Pourcel, Guillaume, et autres
Publié: (2025)

Pure Exploration in Bandits with Linear Constraints
par: Carlsson, Emil, et autres
Publié: (2023)

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning
par: Arafat, Naheed Anjum, et autres
Publié: (2024)

Augmented Bayesian Policy Search
par: Kallel, Mahdi, et autres
Publié: (2024)

Dynamical-VAE-based Hindsight to Learn the Causal Dynamics of Factored-POMDPs
par: Han, Chao, et autres
Publié: (2024)

How does Your RL Agent Explore? An Optimal Transport Analysis of Occupancy Measure Trajectories
par: Nkhumise, Reabetswe M., et autres
Publié: (2024)

Engression: Extrapolation through the Lens of Distributional Regression
par: Shen, Xinwei, et autres
Publié: (2023)

Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
par: Ghosh, Avishek, et autres
Publié: (2024)

Projection-Free Transformers via Gaussian Kernel Attention
par: Kundu, Debarshi, et autres
Publié: (2026)

Dimension Agnostic Neural Processes
par: Lee, Hyungi, et autres
Publié: (2025)

Natural GaLore: Accelerating GaLore for memory-efficient LLM Training and Fine-tuning
par: Das, Arijit
Publié: (2024)

Improved Canonicalization for Model Agnostic Equivariance
par: Panigrahi, Siba Smarak, et autres
Publié: (2024)

Gaussian Certified Unlearning in High Dimensions: A Hypothesis Testing Approach
par: Pandey, Aaradhya, et autres
Publié: (2025)

Differentially Private Best-Arm Identification
par: Azize, Achraf, et autres
Publié: (2024)

The Tag is the Signal: URL-Agnostic Credibility Scoring for Messages on Telegram
par: Wang, Yipeng, et autres
Publié: (2026)

Guess, SWAP, Repeat : Capturing Quantum Snapshots in Classical Memory
par: Kundu, Debarshi, et autres
Publié: (2025)

DyPP: Dynamic Parameter Prediction to Accelerate Convergence of Variational Quantum Algorithms
par: Kundu, Satwik, et autres
Publié: (2023)

Developing cholera outbreak forecasting through qualitative dynamics: Insights into Malawi case study
par: Ghosh, Adrita, et autres
Publié: (2025)

DOT: Dynamic Knob Selection and Online Sampling for Automated Database Tuning
par: Wang, Yifan, et autres
Publié: (2026)

Arboricity and Random Edge Queries Matter for Triangle Counting using Sublinear Queries
par: Bishnu, Arijit, et autres
Publié: (2025)

Towards Tight Bounds for Estimating Degree Distribution in Streaming and Query Models
par: Bishnu, Arijit, et autres
Publié: (2025)

Contextual StereoSet: Stress-Testing Bias Alignment Robustness in Large Language Models
par: Basu, Abhinaba, et autres
Publié: (2026)

Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
par: Dong, Yijun, et autres
Publié: (2025)