MESSY Estimation: Maximum-Entropy based Stochastic and Symbolic densitY Estimation
Fuente:
arXiv
Saved in:
| Main Authors: | Tohme, Tony, Sadr, Mohsen, Youcef-Toumi, Kamal, Hadjiconstantinou, Nicolas G. |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ISR: Invertible Symbolic Regression
by: Tohme, Tony, et al.
Published: (2024)
by: Tohme, Tony, et al.
Published: (2024)
Data-Driven Discovery of PDEs via the Adjoint Method
by: Sadr, Mohsen, et al.
Published: (2024)
by: Sadr, Mohsen, et al.
Published: (2024)
The Geometry of Knowing: From Possibilistic Ignorance to Probabilistic Certainty -- A Measure-Theoretic Framework for Epistemic Convergence
by: Jah, Moriba Kemessia
Published: (2026)
by: Jah, Moriba Kemessia
Published: (2026)
Transport f divergences
by: Li, Wuchen
Published: (2025)
by: Li, Wuchen
Published: (2025)
Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation
by: Han, Yanjun, et al.
Published: (2025)
by: Han, Yanjun, et al.
Published: (2025)
Limit of the Maximum Random Permutation Set Entropy
by: Zhou, Jiefeng, et al.
Published: (2024)
by: Zhou, Jiefeng, et al.
Published: (2024)
Entropy, concentration, and learning: a statistical mechanics primer
by: Balsubramani, Akshay
Published: (2024)
by: Balsubramani, Akshay
Published: (2024)
Stein-Rule Shrinkage for Stochastic Gradient Estimation in High Dimensions
by: Arashi, M., et al.
Published: (2026)
by: Arashi, M., et al.
Published: (2026)
List Estimation
by: Zlatanov, Nikola, et al.
Published: (2026)
by: Zlatanov, Nikola, et al.
Published: (2026)
Optimal Differentially Private PCA and Estimation for Spiked Covariance Matrices
by: Cai, T. Tony, et al.
Published: (2024)
by: Cai, T. Tony, et al.
Published: (2024)
Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
by: Li, Jingyang, et al.
Published: (2024)
by: Li, Jingyang, et al.
Published: (2024)
About the Cost of Central Privacy in Density Estimation
by: Lalanne, Clément, et al.
Published: (2023)
by: Lalanne, Clément, et al.
Published: (2023)
Universal time-series forecasting with mixture predictors
by: Ryabko, Daniil
Published: (2020)
by: Ryabko, Daniil
Published: (2020)
Fast Rates for Offline Contextual Bandits with Forward-KL Regularization under Single-Policy Concentrability
by: Zhao, Qingyue, et al.
Published: (2026)
by: Zhao, Qingyue, et al.
Published: (2026)
On the Exponential Convergence for Offline RLHF with Pairwise Comparisons
by: Chen, Zhirui, et al.
Published: (2024)
by: Chen, Zhirui, et al.
Published: (2024)
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
by: Hellström, Fredrik, et al.
Published: (2023)
by: Hellström, Fredrik, et al.
Published: (2023)
Decision Making in Changing Environments: Robustness, Query-Based Learning, and Differential Privacy
by: Chen, Fan, et al.
Published: (2025)
by: Chen, Fan, et al.
Published: (2025)
Prior-dependent analysis of posterior sampling reinforcement learning with function approximation
by: Li, Yingru, et al.
Published: (2024)
by: Li, Yingru, et al.
Published: (2024)
Neural Networks Learn Generic Multi-Index Models Near Information-Theoretic Limit
by: Zhang, Bohan, et al.
Published: (2025)
by: Zhang, Bohan, et al.
Published: (2025)
Fixed-Budget Differentially Private Best Arm Identification
by: Chen, Zhirui, et al.
Published: (2024)
by: Chen, Zhirui, et al.
Published: (2024)
Statistical Limits for Finite-Rank Tensor Estimation
by: Rossetti, Riccardo, et al.
Published: (2025)
by: Rossetti, Riccardo, et al.
Published: (2025)
Minimax Analysis of Estimation Problems in Coherent Imaging
by: Xing, Hao, et al.
Published: (2025)
by: Xing, Hao, et al.
Published: (2025)
Information Lower Bounds for Robust Mean Estimation
by: Degenne, Rémy, et al.
Published: (2024)
by: Degenne, Rémy, et al.
Published: (2024)
One-Bit Distributed Mean Estimation with Unknown Variance
by: Kumar, Ritesh, et al.
Published: (2025)
by: Kumar, Ritesh, et al.
Published: (2025)
Analyzing Shapley Additive Explanations to Understand Anomaly Detection Algorithm Behaviors and Their Complementarity
by: Levy, Jordan, et al.
Published: (2026)
by: Levy, Jordan, et al.
Published: (2026)
$L^1$ Estimation: On the Optimality of Linear Estimators
by: Barnes, Leighton P., et al.
Published: (2023)
by: Barnes, Leighton P., et al.
Published: (2023)
On Generalized Likelihood Estimation Based on the Logarithmic Norm Relative Entropy
by: Singh, Himanshi, et al.
Published: (2025)
by: Singh, Himanshi, et al.
Published: (2025)
A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
by: Chen, Junren, et al.
Published: (2025)
by: Chen, Junren, et al.
Published: (2025)
VINA: Variational Invertible Neural Architectures
by: Shekhar, Shubhanshu, et al.
Published: (2026)
by: Shekhar, Shubhanshu, et al.
Published: (2026)
On Semi-supervised Estimation of Discrete Distributions under f-divergences
by: Erol, Hasan Sabri Melihcan, et al.
Published: (2024)
by: Erol, Hasan Sabri Melihcan, et al.
Published: (2024)
Information Geometry Approach to Parameter Estimation in Hidden Markov Models
by: Hayashi, Masahito
Published: (2017)
by: Hayashi, Masahito
Published: (2017)
$L_q$ Lower Bounds on Distributed Estimation via Fisher Information
by: Chen, Wei-Ning, et al.
Published: (2024)
by: Chen, Wei-Ning, et al.
Published: (2024)
Multivariate Priors and the Linearity of Optimal Bayesian Estimators under Gaussian Noise
by: Barnes, Leighton P., et al.
Published: (2024)
by: Barnes, Leighton P., et al.
Published: (2024)
Linearity-Inducing Priors for Poisson Parameter Estimation Under $L^{1}$ Loss
by: Barnes, Leighton P., et al.
Published: (2025)
by: Barnes, Leighton P., et al.
Published: (2025)
Two New Families of Local Asymptotically Minimax Lower Bounds in Parameter Estimation
by: Merhav, Neri
Published: (2024)
by: Merhav, Neri
Published: (2024)
Quickest Change Detection for Multiple Data Streams Using the James-Stein Estimator
by: Halme, Topi, et al.
Published: (2024)
by: Halme, Topi, et al.
Published: (2024)
On the Entropy of General Mixture Distributions
by: Lee, Namyoon
Published: (2026)
by: Lee, Namyoon
Published: (2026)
Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification
by: Harel, Nadav, et al.
Published: (2023)
by: Harel, Nadav, et al.
Published: (2023)
Multi-Terminal Remote Generation and Estimation Over a Broadcast Channel With Correlated Priors
by: Egger, Maximilian, et al.
Published: (2025)
by: Egger, Maximilian, et al.
Published: (2025)
Stochastic Direct Search Method for Blind Resource Allocation
by: Achddou, Juliette, et al.
Published: (2022)
by: Achddou, Juliette, et al.
Published: (2022)
Similar Items
-
ISR: Invertible Symbolic Regression
by: Tohme, Tony, et al.
Published: (2024) -
Data-Driven Discovery of PDEs via the Adjoint Method
by: Sadr, Mohsen, et al.
Published: (2024) -
The Geometry of Knowing: From Possibilistic Ignorance to Probabilistic Certainty -- A Measure-Theoretic Framework for Epistemic Convergence
by: Jah, Moriba Kemessia
Published: (2026) -
Transport f divergences
by: Li, Wuchen
Published: (2025) -
Besting Good--Turing: Optimality of Non-Parametric Maximum Likelihood for Distribution Estimation
by: Han, Yanjun, et al.
Published: (2025)