Cover Image

Optimal distributions for randomized unbiased estimators with an infinite horizon and an adaptive algorithm

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Chao, Pan, Jiangtao, Wang, Qun
Format:	Preprint
Published:	2023
Subjects:	Statistics Theory Optimization and Control Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal transport and Wasserstein distances for causal models
by: Cheridito, Patrick, et al.
Published: (2023)

Optimal estimators of cross-partial derivatives and surrogates of functions
by: Lamboni, Matieyendou
Published: (2024)

Orlicz regrets to consistently bound statistics of random variables with an application to environmental indicators
by: Yoshioka, Hidekazu, et al.
Published: (2023)

Sharp Rates of MMD Empirical Estimation with Power Kernels
by: Colasanto, Francesco, et al.
Published: (2026)

Central limit theorems for vector-valued composite functionals with smoothing and applications
by: Chen, Huihui, et al.
Published: (2024)

Wasserstein Distributionally Robust Optimization with Heterogeneous Data Sources
by: Rychener, Yves, et al.
Published: (2024)

Optimal and instance-dependent guarantees for Markovian linear stochastic approximation
by: Mou, Wenlong, et al.
Published: (2021)

4+3 Phases of Compute-Optimal Neural Scaling Laws
by: Paquette, Elliot, et al.
Published: (2024)

Alternating minimization for generalized rank one matrix sensing: Sharp predictions from a random initialization
by: Chandrasekher, Kabir Aladin, et al.
Published: (2022)

Markov Kernels, Distances and Optimal Control: A Parable of Linear Quadratic Non-Gaussian Distribution Steering
by: Teter, Alexis M. H., et al.
Published: (2025)

Non-asymptotic convergence bounds for modified tamed unadjusted Langevin algorithm in non-convex setting
by: Neufeld, Ariel, et al.
Published: (2022)

Convergence rate of random scan Coordinate Ascent Variational Inference under log-concavity
by: Lavenant, Hugo, et al.
Published: (2024)

To spike or not to spike: the whims of the Wonham filter in the strong noise regime
by: Bernardin, Cédric, et al.
Published: (2022)

New algorithms for sampling and diffusion models
by: Zhang, Xicheng
Published: (2024)

Randomstrasse101: Open Problems of 2024
by: Bandeira, Afonso S., et al.
Published: (2025)

Randomstrasse101: Open Problems of 2025
by: Bandeira, Afonso S., et al.
Published: (2026)

Optimal threshold resetting in collective diffusive search
by: Biswas, Arup, et al.
Published: (2026)

Statistical Inference for Linear Functionals of Online SGD in High-dimensional Linear Regression
by: Agrawalla, Bhavya, et al.
Published: (2023)

High-dimensional scaling limits and fluctuations of online least-squares SGD with smooth covariance
by: Balasubramanian, Krishnakumar, et al.
Published: (2023)

Fast Spawn\&Prune (FS\&P): Global convergence of stochastic conic particle gradient descent via birth/death process
by: De Castro, Yohann, et al.
Published: (2026)

Well-posedness and approximation of reflected McKean-Vlasov SDEs with applications
by: Hinds, P. D., et al.
Published: (2024)

A Piecewise Lyapunov Analysis of Sub-quadratic SGD: Applications to Robust and Quantile Regression
by: Zhang, Yixuan, et al.
Published: (2025)

Convergence of coordinate ascent variational inference for log-concave measures via optimal transport
by: Arnese, Manuel, et al.
Published: (2024)

Early Stopping in Contextual Bandits and Inferences
by: Cui, Zihan
Published: (2025)

Statistical guarantees for continuous-time policy evaluation: blessing of ellipticity and new tradeoffs
by: Mou, Wenlong
Published: (2025)

Is RL fine-tuning harder than regression? A PDE learning approach for diffusion models
by: Mou, Wenlong
Published: (2025)

Distributed adaptive estimation for stochastic large regression models
by: Gan, Die, et al.
Published: (2026)

Distributionally-Robust Optimization with Noisy Data for Discrete Uncertainties Using Total Variation Distance
by: Farokhi, Farhad
Published: (2023)

Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity
by: Stöger, Dominik, et al.
Published: (2024)

Efficient Online Learning in Interacting Particle Systems
by: Sharrock, Louis, et al.
Published: (2026)

Biased Mean Quadrangle and Applications
by: Malandii, Anton, et al.
Published: (2026)

High dimensional analysis reveals conservative sharpening and a stochastic edge of stability
by: Agarwala, Atish, et al.
Published: (2024)

Turing in the shadows of Nobel and Abel: an algorithmic story behind two recent prizes
by: Gamarnik, David
Published: (2025)

Propagation of Chaos in Contextual Flow Maps
by: Chen, Shi, et al.
Published: (2026)

Geometry-Aware Langevin Sampling for Matrix-Valued Graph Learning
by: Dey, Papri
Published: (2026)

A Simple Note on the Basic Properties of Subgaussian Random Variables
by: Li, Yang
Published: (2024)

Bootstrapping Nonequilibrium Stochastic Processes
by: Cho, Minjae
Published: (2025)

The Risk Quadrangle in Optimization: An Overview with Recent Results and Extensions
by: Grechuk, Bogdan, et al.
Published: (2026)

Queues with service resetting
by: Bonomo, Ofek Lauber, et al.
Published: (2023)

Estimating the Convex Hull of the Image of a Set with Smooth Boundary: Error Bounds and Applications
by: Lew, Thomas, et al.
Published: (2023)