Cover Image

Dual Representation of Minimum Divergence Under Integral Constraints

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Shekhar, Shubhanshu, Agrawal, Shubhada
Format:	Preprint
Published:	2026
Subjects:	Information Theory Statistics Theory
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Optimal Anytime-Valid Tests for Composite Nulls
by: Shekhar, Shubhanshu
Published: (2025)

Tighter Confidence Intervals under Without Replacement Sampling via Empirical Rate Functions
by: Shekhar, Shubhanshu, et al.
Published: (2026)

Nonparametric Two-Sample Testing by Betting
by: Shekhar, Shubhanshu, et al.
Published: (2021)

Classifier-Based Nonparametric Sequential Hypothesis Testing
by: Hsu, Chia-Yu, et al.
Published: (2026)

Active Nonparametric Two-Sample Testing by Betting on Heterogeneous Data Sources
by: Hsu, Chia-Yu, et al.
Published: (2025)

Cover meets Robbins while Betting on Bounded Data: $\ln n$ Regret and Almost Sure $\ln\ln n$ Regret
by: Agrawal, Shubhada, et al.
Published: (2026)

Eventually LIL Regret: Almost Sure $\ln\ln T$ Regret for a sub-Gaussian Mixture on Unbounded Data
by: Agrawal, Shubhada, et al.
Published: (2025)

On Stopping Times of Power-one Sequential Tests: Tight Lower and Upper Bounds
by: Agrawal, Shubhada, et al.
Published: (2025)

Multiple sequences Prophet Inequality Under Observation Constraints
by: Tsopelakos, Aristomenis, et al.
Published: (2024)

Sequential One-Sided Hypothesis Testing of Markov Chains
by: Fields, Greg, et al.
Published: (2025)

A Unified Representation of Density-Power-Based Divergences Reducible to M-Estimation
by: Kobayashi, Masahiro
Published: (2025)

Regret Tail Characterization of Optimal Bandit Algorithms with Generic Rewards
by: Panda, Subhodip, et al.
Published: (2026)

Almost sure null bankruptcy of testing-by-betting strategies
by: Wang, Hongjian, et al.
Published: (2026)

Relationship between Hölder Divergence and Functional Density Power Divergence: Intersection and Generalization
by: Kobayashi, Masahiro
Published: (2025)

A Permutation-free Kernel Two-Sample Test
by: Shekhar, Shubhanshu, et al.
Published: (2022)

Limit Distribution Theory for Quantum Divergences
by: Sreekumar, Sreejith, et al.
Published: (2023)

State Variation Mining: On Information Divergence with Message Importance in Big Data
by: She, Rui, et al.
Published: (2018)

A Constructive Method to Maximize Entropy under Marginal Constraints
by: Bertrand, Pierre Jean-Claude Robert
Published: (2026)

Unbiased Estimating Equation on Inverse Divergence and Its Conditions
by: Kobayashi, Masahiro, et al.
Published: (2024)

Markov Chain Variance Estimation: A Stochastic Approximation Approach
by: Agrawal, Shubhada, et al.
Published: (2024)

Linearity-Inducing Priors for Poisson Parameter Estimation Under $L^{1}$ Loss
by: Barnes, Leighton P., et al.
Published: (2025)

Batches Stabilize the Minimum Norm Risk in High Dimensional Overparameterized Linear Regression
by: Ioushua, Shahar Stein, et al.
Published: (2023)

Optimal Top-Two Method for Best Arm Identification and Fluid Analysis
by: Bandyopadhyay, Agniv, et al.
Published: (2024)

Gaussian Width of Convex Sets via Integral Decompositions, Projections, and the Distribution of Intrinsic Volumes
by: Pathak, Reese, et al.
Published: (2026)

Minimum Hellinger Distance Estimators for Complex Survey Designs
by: Kepplinger, David, et al.
Published: (2025)

Analysis of Age of Information for A Discrete-Time hybrid Dual-Queue System
by: Chen, Zhengchuan, et al.
Published: (2024)

Fast Convergence of $Φ$-Divergence Along the Unadjusted Langevin Algorithm and Proximal Sampler
by: Mitra, Siddharth, et al.
Published: (2024)

A Unified Approach to Statistical Estimation Under Nonlinear Observations: Tensor Estimation and Matrix Factorization
by: Chen, Junren, et al.
Published: (2025)

Robust Estimation Under Heterogeneous Corruption Rates
by: Chaudhuri, Syomantak, et al.
Published: (2025)

The Sample Complexity of Distributed Simple Binary Hypothesis Testing under Information Constraints
by: Kazemi, Hadi, et al.
Published: (2025)

Asymptotically Optimal Sequential Testing with Markovian Data
by: Sethi, Alhad, et al.
Published: (2026)

Non-Bayesian Post-Model-Selection Estimation as Estimation Under Model Misspecification
by: Harel, Nadav, et al.
Published: (2023)

Asymptotic Breakdown Point Analysis for a General Class of Minimum Divergence Estimators
by: Roy, Subhrajyoty, et al.
Published: (2023)

Variational Representations of Annealing Paths: Bregman Information under Monotonic Embedding
by: Brekelmans, Rob, et al.
Published: (2022)

On Unbiased Low-Rank Approximation with Minimum Distortion
by: Barnes, Leighton Pate, et al.
Published: (2025)

Cumulants of multiinformation density in the case of a multivariate normal distribution
by: Marrelec, Guillaume, et al.
Published: (2019)

A Constructive Approach to $q$-Gaussian Distributions: $α$-Divergence as Rate Function and Generalized de Moivre-Laplace Theorem
by: Suyari, Hiroki, et al.
Published: (2026)

From Asymptotic to Finite-Sample Minimax Robust Hypothesis Testing
by: Gül, Gökhan
Published: (2026)

On the Entropy of General Mixture Distributions
by: Lee, Namyoon
Published: (2026)

Asymptotically Minimax Robust Likelihood Ratio Test
by: Gül, Gökhan
Published: (2026)