Cover Image

On Unbiased Parameter Estimation and Signal Reconstruction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Lahtinen, Joonas
Format:	Preprint
Published:	2026
Subjects:	Information Theory Optimization and Control Probability
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

An Information-Theoretic Analysis of Continuous-Time Control and Filtering Limitations by the I-MMSE Relationships
by: Wan, Neng, et al.
Published: (2022)

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

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

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

Convergence of linear programming hierarchies for Gibbs states of spin systems
by: Fawzi, Hamza, et al.
Published: (2025)

Exact objectives of random linear programs and mean widths of random polyhedrons
by: Stojnic, Mihailo
Published: (2024)

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

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

Group Projected Subspace Pursuit for Block Sparse Signal Reconstruction: Convergence Analysis and Applications
by: He, Roy Y., et al.
Published: (2024)

On Moment-Based Recovery of Measures with Atomic and Continuous Parts
by: Karapetyan, Ruben, 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 Transport on Lie Group Orbits
by: Taskesen, Bahar
Published: (2025)

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

Optimal distributions for randomized unbiased estimators with an infinite horizon and an adaptive algorithm
by: Zheng, Chao, et al.
Published: (2023)

Remote State Estimation over Unreliable Channels with Unreliable Feedback: Strategies and Limits
by: Soleymani, Touraj, et al.
Published: (2025)

Optimal Gaussian Strategies for Vector-valued Witsenhausen Counterexample with Non-causal State Estimator
by: Zhao, Mengyuan, et al.
Published: (2024)

Optimal Risk-Sensitive Scheduling Policies for Remote Estimation of Autoregressive Markov Processes
by: Dutta, Manali, et al.
Published: (2024)

Uncertainty Quantification of Spectral Estimator and MLE for Orthogonal Group Synchronization
by: Zhong, Ziliang Samuel, et al.
Published: (2024)

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

Asymptotics of Proximity Operator for Squared Loss and Performance Prediction of Nonconvex Sparse Signal Recovery
by: Hayakawa, Ryo
Published: (2021)

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)

On Approximate Nash Equilibria in Mean Field Games
by: Djete, Mao Fabrice, et al.
Published: (2026)

Sharp estimates for the Laplacian torsional rigidity with negative Robin boundary conditions
by: Gavitone, Nunzia, et al.
Published: (2026)

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

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

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

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

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)

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

On Time-Inconsistency in Mean Field Games
by: Bayraktar, Erhan, et al.
Published: (2023)

Sequential Fair Allocation With Replenishments: A Little Envy Goes An Exponentially Long Way
by: Onyeze, Chido, et al.
Published: (2025)

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

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

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

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)

Analytically Characterized Optimal Power Control for Signal-Level-Integrated Sensing, Computing and Communication in Federated Learning
by: Zheng, Paul, et al.
Published: (2026)

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