Change of measure through the Legendre transform
Fuente:
arXiv
Saved in:
| Main Authors: | Picard-Weibel, Antoine, Guedj, Benjamin |
|---|---|
| Format: | Preprint |
| Published: |
2022
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Comparing Comparators in Generalization Bounds
by: Hellström, Fredrik, et al.
Published: (2023)
by: Hellström, Fredrik, et al.
Published: (2023)
Variations on the Expectation due to Changes in the Probability Measure
by: Perlaza, Samir M., et al.
Published: (2025)
by: Perlaza, Samir M., et al.
Published: (2025)
Generating Rectifiable Measures through Neural Networks
by: Riegler, Erwin, et al.
Published: (2024)
by: Riegler, Erwin, et al.
Published: (2024)
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2023)
by: Zhang, Yihan, et al.
Published: (2023)
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
by: Zhang, Yihan, et al.
Published: (2024)
by: Zhang, Yihan, et al.
Published: (2024)
Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
by: Kızıldağ, Eren C.
Published: (2025)
by: Kızıldağ, Eren C.
Published: (2025)
Estimating stationary mass, frequency by frequency
by: Nakul, Milind, et al.
Published: (2025)
by: Nakul, Milind, et al.
Published: (2025)
Unifying AMP Algorithms for Rotationally-Invariant Models
by: Liu, Songbin, et al.
Published: (2024)
by: Liu, Songbin, et al.
Published: (2024)
Spectral Estimators for Multi-Index Models: Precise Asymptotics and Optimal Weak Recovery
by: Kovačević, Filip, et al.
Published: (2025)
by: Kovačević, Filip, et al.
Published: (2025)
High-Dimensional Asymptotics of Differentially Private PCA
by: Yun, Youngjoo, et al.
Published: (2025)
by: Yun, Youngjoo, et al.
Published: (2025)
On Universality of Non-Separable Approximate Message Passing Algorithms
by: Lovig, Max, et al.
Published: (2025)
by: Lovig, Max, et al.
Published: (2025)
Optimality of Approximate Message Passing Algorithms for Spiked Matrix Models with Rotationally Invariant Noise
by: Dudeja, Rishabh, et al.
Published: (2024)
by: Dudeja, Rishabh, et al.
Published: (2024)
Sharp One-Dimensional Sub-Gaussian Comparison in Convex Order
by: Zhang, Yihan
Published: (2026)
by: Zhang, Yihan
Published: (2026)
Optimal Estimation in Orthogonally Invariant Generalized Linear Models: Spectral Initialization and Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2026)
by: Zhang, Yihan, et al.
Published: (2026)
A Method For Bounding Tail Probabilities
by: Zlatanov, Nikola
Published: (2024)
by: Zlatanov, Nikola
Published: (2024)
Just Wing It: Near-Optimal Estimation of Missing Mass in a Markovian Sequence
by: Pananjady, Ashwin, et al.
Published: (2024)
by: Pananjady, Ashwin, et al.
Published: (2024)
Variational Optimality of Föllmer Processes in Generative Diffusions
by: Chen, Yifan, et al.
Published: (2026)
by: Chen, Yifan, et al.
Published: (2026)
Generalization Bounds: Perspectives from Information Theory and PAC-Bayes
by: Hellström, Fredrik, et al.
Published: (2023)
by: Hellström, Fredrik, et al.
Published: (2023)
Maximum entropy based testing in network models: ERGMs and constrained optimization
by: Ghosh, Subhro, et al.
Published: (2026)
by: Ghosh, Subhro, et al.
Published: (2026)
Detecting Arbitrary Planted Subgraphs in Random Graphs
by: Elimelech, Dor, et al.
Published: (2025)
by: Elimelech, Dor, et al.
Published: (2025)
Computationally efficient reductions between some statistical models
by: Lou, Mengqi, et al.
Published: (2024)
by: Lou, Mengqi, et al.
Published: (2024)
On Unbiased Low-Rank Approximation with Minimum Distortion
by: Barnes, Leighton Pate, et al.
Published: (2025)
by: Barnes, Leighton Pate, et al.
Published: (2025)
Harnessing Multiple Correlated Networks for Exact Community Recovery
by: Rácz, Miklós Z., et al.
Published: (2024)
by: Rácz, Miklós Z., et al.
Published: (2024)
Perfect Recovery for Random Geometric Graph Matching with Shallow Graph Neural Networks
by: Liu, Suqi, et al.
Published: (2024)
by: Liu, Suqi, et al.
Published: (2024)
Fundamental limits of community detection from multi-view data: multi-layer, dynamic and partially labeled block models
by: Yang, Xiaodong, et al.
Published: (2024)
by: Yang, Xiaodong, et al.
Published: (2024)
Infinitely divisible privacy and beyond I: resolution of the $s^2=2k$ conjecture
by: Pandey, Aaradhya, et al.
Published: (2025)
by: Pandey, Aaradhya, et al.
Published: (2025)
Non-convex matrix sensing: Breaking the quadratic rank barrier in the sample complexity
by: Stöger, Dominik, et al.
Published: (2024)
by: Stöger, Dominik, et al.
Published: (2024)
First-Extinction Law for Resampling Processes
by: Benati, Matteo, et al.
Published: (2025)
by: Benati, Matteo, et al.
Published: (2025)
Asymptotic properties of the maximum likelihood estimator for Hidden Markov Models indexed by binary trees
by: Weibel, Julien
Published: (2024)
by: Weibel, Julien
Published: (2024)
Surveying the space of descriptions of a composite system with machine learning
by: Murphy, Kieran A., et al.
Published: (2024)
by: Murphy, Kieran A., et al.
Published: (2024)
Accurate Estimation of Mutual Information in High Dimensional Data
by: Abdelaleem, Eslam, et al.
Published: (2025)
by: Abdelaleem, Eslam, et al.
Published: (2025)
Higher order definition of causality by optimally conditioned transfer entropy
by: Kořenek, Jakub, et al.
Published: (2024)
by: Kořenek, Jakub, et al.
Published: (2024)
Data efficiency, dimensionality reduction, and the generalized symmetric information bottleneck
by: Martini, K. Michael, et al.
Published: (2023)
by: Martini, K. Michael, et al.
Published: (2023)
Deep Variational Multivariate Information Bottleneck -- A Framework for Variational Losses
by: Abdelaleem, Eslam, et al.
Published: (2023)
by: Abdelaleem, Eslam, et al.
Published: (2023)
Analysis of Diffusion Models for Manifold Data
by: George, Anand Jerry, et al.
Published: (2025)
by: George, Anand Jerry, et al.
Published: (2025)
Rapidly Varying Completely Random Measures for Modeling Extremely Sparse Networks
by: Kilian, Valentin, et al.
Published: (2025)
by: Kilian, Valentin, et al.
Published: (2025)
A Fourier representation of kernel Stein discrepancy with application to Goodness-of-Fit tests for measures on infinite dimensional Hilbert spaces
by: Wynne, George, et al.
Published: (2022)
by: Wynne, George, et al.
Published: (2022)
Controlling Multiple Errors Simultaneously with a PAC-Bayes Bound
by: Adams, Reuben, et al.
Published: (2022)
by: Adams, Reuben, et al.
Published: (2022)
Forecast collapse of transformer-based models under squared loss in financial time series
by: Andreoletti, Pierre
Published: (2026)
by: Andreoletti, Pierre
Published: (2026)
Probability Tools for Sequential Random Projection
by: Li, Yingru
Published: (2024)
by: Li, Yingru
Published: (2024)
Similar Items
-
Comparing Comparators in Generalization Bounds
by: Hellström, Fredrik, et al.
Published: (2023) -
Variations on the Expectation due to Changes in the Probability Measure
by: Perlaza, Samir M., et al.
Published: (2025) -
Generating Rectifiable Measures through Neural Networks
by: Riegler, Erwin, et al.
Published: (2024) -
Spectral Estimators for Structured Generalized Linear Models via Approximate Message Passing
by: Zhang, Yihan, et al.
Published: (2023) -
Matrix Denoising with Doubly Heteroscedastic Noise: Fundamental Limits and Optimal Spectral Methods
by: Zhang, Yihan, et al.
Published: (2024)