Imagen de Portada

Doubly robust nearest neighbors in factor models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Dwivedi, Raaz, Tian, Katherine, Tomkins, Sabina, Klasnja, Predrag, Murphy, Susan, Shah, Devavrat
Formato:	Preprint
Publicado:	2022
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Counterfactual inference in sequential experiments
por: Dwivedi, Raaz, et al.
Publicado: (2022)

Doubly Robust Inference in Causal Latent Factor Models
por: Abadie, Alberto, et al.
Publicado: (2024)

Harnessing Causality in Reinforcement Learning With Bagged Decision Times
por: Gao, Daiqi, et al.
Publicado: (2024)

Active Measuring in Reinforcement Learning With Delayed Negative Effects
por: Gao, Daiqi, et al.
Publicado: (2025)

Generalized Kernel Thinning
por: Dwivedi, Raaz, et al.
Publicado: (2021)

Kernel Thinning
por: Dwivedi, Raaz, et al.
Publicado: (2021)

On high-dimensional modifications of the nearest neighbor classifier
por: Ghosh, Annesha, et al.
Publicado: (2024)

FairPair: A Robust Evaluation of Biases in Language Models through Paired Perturbations
por: Dwivedi-Yu, Jane, et al.
Publicado: (2024)

kNN-Graph: An adaptive graph model for $k$-nearest neighbors
por: Li, Jiaye, et al.
Publicado: (2026)

Supervised Kernel Thinning
por: Gong, Albert, et al.
Publicado: (2024)

Debiased Distribution Compression
por: Li, Lingxiao, et al.
Publicado: (2024)

Adaptively-weighted Nearest Neighbors for Matrix Completion
por: Sadhukhan, Tathagata, et al.
Publicado: (2025)

Two-Sided Nearest Neighbors: An adaptive and minimax optimal procedure for matrix completion
por: Sadhukhan, Tathagata, et al.
Publicado: (2024)

GAAVI: Global Asymptotic Anytime Valid Inference for the Conditional Mean Function
por: Cho, Brian M, et al.
Publicado: (2026)

Compress Then Test: Powerful Kernel Testing in Near-linear Time
por: Domingo-Enrich, Carles, et al.
Publicado: (2023)

Distributional Matrix Completion via Nearest Neighbors in the Wasserstein Space
por: Feitelberg, Jacob, et al.
Publicado: (2024)

$k$-SVD with Gradient Descent
por: Jedra, Yassir, et al.
Publicado: (2025)

Explaining the Success of Nearest Neighbor Methods in Prediction
por: Chen, George H., et al.
Publicado: (2025)

Synthetic Survival Control: Extending Synthetic Controls for "When-If" Decision
por: Han, Jessy Xinyi, et al.
Publicado: (2025)

Counterfactual Forecasting for Panel Data
por: Deb, Navonil, et al.
Publicado: (2025)

Learning Counterfactual Distributions via Kernel Nearest Neighbors
por: Choi, Kyuseong, et al.
Publicado: (2024)

Anti-establishment sentiment on TikTok: Implications for understanding influence(rs) and expertise on social media
por: Xu, Tianliang, et al.
Publicado: (2025)

Causal Inference with Categorical Unobserved Confounder via Mixture Learning
por: Saha, Aytijhya, et al.
Publicado: (2026)

Synthetic Interventions
por: Agarwal, Anish, et al.
Publicado: (2020)

Adaptive $k$-nearest neighbor classifier based on the local estimation of the shape operator
por: Levada, Alexandre Luís Magalhães, et al.
Publicado: (2024)

GOPO: Policy Optimization using Ranked Rewards
por: Choi, Kyuseong, et al.
Publicado: (2026)

A Causal Inference Framework for Data Rich Environments
por: Abadie, Alberto, et al.
Publicado: (2025)

TabImpute: Universal Zero-Shot Imputation for Tabular Data
por: Feitelberg, Jacob, et al.
Publicado: (2025)

Cheap Permutation Testing
por: Domingo-Enrich, Carles, et al.
Publicado: (2025)

Exploiting Observation Bias to Improve Matrix Completion
por: Jedra, Yassir, et al.
Publicado: (2023)

Federated Optimization of Smooth Loss Functions
por: Jadbabaie, Ali, et al.
Publicado: (2022)

Human Expertise in Algorithmic Prediction
por: Alur, Rohan, et al.
Publicado: (2024)

Doubly robust inference via calibration
por: van der Laan, Lars, et al.
Publicado: (2024)

Study on spike-and-wave detection in epileptic signals using t-location-scale distribution and the K-nearest neighbors classifier
por: Quintero-Rincón, Antonio, et al.
Publicado: (2024)

The Impossibility of Inverse Permutation Learning in Transformer Models
por: Alur, Rohan, et al.
Publicado: (2025)

Low-Rank Thinning
por: Carrell, Annabelle Michael, et al.
Publicado: (2025)

Doubly robust identification of treatment effects from multiple environments
por: De Bartolomeis, Piersilvio, et al.
Publicado: (2025)

Exploiting Exogenous Structure for Sample-Efficient Reinforcement Learning
por: Wan, Jia, et al.
Publicado: (2024)

Auditing for Human Expertise
por: Alur, Rohan, et al.
Publicado: (2023)

N$^2$: A Unified Python Package and Test Bench for Nearest Neighbor-Based Matrix Completion
por: Chin, Caleb, et al.
Publicado: (2025)