:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Kim, Hwanwoo, Zhang, Xin, Zhao, Jiwei, Tian, Qinglong
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	https://arxiv.org/abs/2401.16410
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Implicit Q-Learning and SARSA: Liberating Policy Control from Step-Size Calibration
by: Kim, Hwanwoo, et al.
Published: (2026)

Enhancing Gaussian Process Surrogates for Optimization and Posterior Approximation via Random Exploration
by: Kim, Hwanwoo, et al.
Published: (2024)

Stabilizing Temporal Difference Learning via Implicit Stochastic Recursion
by: Kim, Hwanwoo, et al.
Published: (2025)

Bayesian Optimization with Inexact Acquisition: Is Random Grid Search Sufficient?
by: Kim, Hwanwoo, et al.
Published: (2025)

Implicit Updates for Average-Reward Temporal Difference Learning
by: Kim, Hwanwoo, et al.
Published: (2025)

Unsupervised Domain Adaptation for Binary Classification with an Unobservable Source Subpopulation
by: Ying, Chao, et al.
Published: (2025)

Positive and Unlabeled Data: Model, Estimation, Inference, and Classification
by: Liu, Siyan, et al.
Published: (2024)

Efficient optimization of expensive black-box simulators via marginal means, with application to neutrino detector design
by: Kim, Hwanwoo, et al.
Published: (2025)

Efficient and Model-Agnostic Parameter Estimation Under Privacy-Preserving Post-randomization Data
by: Tian, Qinglong, et al.
Published: (2024)

Semiparametric Learning from Open-Set Label Shift Data
by: Liu, Siyan, et al.
Published: (2025)

Advancing Causal Inference: A Nonparametric Approach to ATE and CATE Estimation with Continuous Treatments
by: Souto, Hugo Gobato, et al.
Published: (2024)

Addressing Distribution Shift in RTB Markets via Exponential Tilting
by: Kim, Minji, et al.
Published: (2023)

Adapting to Continuous Covariate Shift via Online Density Ratio Estimation
by: Zhang, Yu-Jie, et al.
Published: (2023)

Hyperboloid GPLVM for Discovering Continuous Hierarchies via Nonparametric Estimation
by: Watanabe, Koshi, et al.
Published: (2024)

Neyman-Pearson multiclass classification under label noise via empirical likelihood
by: Zhang, Qiong, et al.
Published: (2026)

EM Approaches to Nonparametric Estimation for Mixture of Linear Regressions
by: Welbaum, Andrew, et al.
Published: (2025)

Nonparametric Distribution Regression Re-calibration
by: Jung, Ádám, et al.
Published: (2026)

Addressing Prediction Delays in Time Series Forecasting: A Continuous GRU Approach with Derivative Regularization
by: Jhin, Sheo Yon, et al.
Published: (2024)

A Scalable Nonparametric Continuous-Time Survival Model through Numerical Quadrature
by: Lee, Chaeyeon, et al.
Published: (2026)

A Theory of Nonparametric Covariance Function Estimation for Discretely Observed Data
by: Terada, Yoshikazu, et al.
Published: (2026)

Empirical Bayes Estimation with Side Information: A Nonparametric Integrative Tweedie Approach
by: Luo, Jiajun, et al.
Published: (2023)

Penalized GMM Framework for Inference on Functionals of Nonparametric Instrumental Variable Estimators
by: Bakhitov, Edvard
Published: (2026)

Efficient and model‐agnostic parameter estimation under privacy‐preserving post‐randomization data
by: Qinglong Tian, et al.
Published: (2025)

Generative and Nonparametric Approaches for Conditional Distribution Estimation: Methods, Perspectives, and Comparative Evaluations
by: Chin, Yen-Shiu, et al.
Published: (2026)

Adaptive Estimation and Uniform Confidence Bands for Nonparametric Structural Functions and Elasticities
by: Chen, Xiaohong, et al.
Published: (2021)

The Estimation of Continual Causal Effect for Dataset Shifting Streams
by: Chen, Baining, et al.
Published: (2025)

Amortized Active Learning for Nonparametric Functions
by: Li, Cen-You, et al.
Published: (2024)

Addressing Selection Bias in Computerized Adaptive Testing: A User-Wise Aggregate Influence Function Approach
by: Kwon, Soonwoo, et al.
Published: (2023)

Addressing Concept Shift in Online Time Series Forecasting: Detect-then-Adapt
by: Zhang, YiFan, et al.
Published: (2024)

Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
by: Kim, Joonkyu, et al.
Published: (2025)

TabPFN: One Model to Rule Them All?
by: Zhang, Qiong, et al.
Published: (2025)

Adaptive Transformer Modelling of Density Function for Nonparametric Survival Analysis
by: Zhang, Xin, et al.
Published: (2024)

Kernelized Advantage Estimation: From Nonparametric Statistics to LLM Reasoning
by: Gong, Shijin, et al.
Published: (2026)

Online Estimation with Rolling Validation: Adaptive Nonparametric Estimation with Streaming Data
by: Zhang, Tianyu, et al.
Published: (2023)

Mode and Ridge Estimation in Euclidean and Directional Product Spaces: A Mean Shift Approach
by: Zhang, Yikun, et al.
Published: (2021)

SPARKLE: A Nonparametric Approach for Online Decision-Making with High-Dimensional Covariates
by: Wang, Wenjia, et al.
Published: (2025)

Minimax Optimal Two-Stage Algorithm For Moment Estimation Under Covariate Shift
by: Zhang, Zhen, et al.
Published: (2025)

Nonparametric Estimation of Isotropic Covariance Function
by: Wang, Yiming, et al.
Published: (2026)

Model-Robust and Adaptive-Optimal Transfer Learning for Tackling Concept Shifts in Nonparametric Regression
by: Lin, Haotian, et al.
Published: (2025)

A Deep Bayesian Nonparametric Framework for Robust Mutual Information Estimation
by: Fazeliasl, Forough, et al.
Published: (2025)