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Minimax Rates for Conditional Density Estimation via Empirical Entropy

Minimax Rates for Conditional Density Estimation via Empirical Entropy

21 September 2021
Blair Bilodeau
Dylan J. Foster
Daniel M. Roy
ArXivPDFHTML

Papers citing "Minimax Rates for Conditional Density Estimation via Empirical Entropy"

16 / 16 papers shown
Title
Sequential Probability Assignment with Contexts: Minimax Regret,
  Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
Sequential Probability Assignment with Contexts: Minimax Regret, Contextual Shtarkov Sums, and Contextual Normalized Maximum Likelihood
Ziyi Liu
Idan Attias
Daniel M. Roy
23
1
0
04 Oct 2024
A Likelihood Based Approach to Distribution Regression Using Conditional
  Deep Generative Models
A Likelihood Based Approach to Distribution Regression Using Conditional Deep Generative Models
Shivam Kumar
Yun Yang
Lizhen Lin
23
0
0
02 Oct 2024
Almost Free: Self-concordance in Natural Exponential Families and an
  Application to Bandits
Almost Free: Self-concordance in Natural Exponential Families and an Application to Bandits
Shuai Liu
Alex Ayoub
Flore Sentenac
Xiaoqi Tan
Csaba Szepesvári
26
1
0
01 Oct 2024
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive
  for Conditional Distribution Estimation
Conditional Diffusion Models are Minimax-Optimal and Manifold-Adaptive for Conditional Distribution Estimation
Rong Tang
Lizhen Lin
Yun Yang
DiffM
28
1
0
30 Sep 2024
Adjusting Regression Models for Conditional Uncertainty Calibration
Adjusting Regression Models for Conditional Uncertainty Calibration
Ruijiang Gao
Mingzhang Yin
James McInerney
Nathan Kallus
26
0
0
26 Sep 2024
Learning Decision Policies with Instrumental Variables through Double
  Machine Learning
Learning Decision Policies with Instrumental Variables through Double Machine Learning
Daqian Shao
Ashkan Soleymani
Francesco Quinzan
Marta Z. Kwiatkowska
36
1
0
14 May 2024
Online Distribution Learning with Local Private Constraints
Online Distribution Learning with Local Private Constraints
Jin Sima
Changlong Wu
O. Milenkovic
Wojtek Szpankowski
22
0
0
01 Feb 2024
High-Probability Risk Bounds via Sequential Predictors
High-Probability Risk Bounds via Sequential Predictors
Dirk van der Hoeven
Nikita Zhivotovskiy
Nicolò Cesa-Bianchi
OffRL
34
2
0
15 Aug 2023
Distribution-Free Model-Agnostic Regression Calibration via
  Nonparametric Methods
Distribution-Free Model-Agnostic Regression Calibration via Nonparametric Methods
Shang Liu
Zhongze Cai
Xiaocheng Li
13
4
0
20 May 2023
Smoothed Analysis of Sequential Probability Assignment
Smoothed Analysis of Sequential Probability Assignment
Alankrita Bhatt
Nika Haghtalab
Abhishek Shetty
30
9
0
08 Mar 2023
Exploring Local Norms in Exp-concave Statistical Learning
Exploring Local Norms in Exp-concave Statistical Learning
Nikita Puchkin
Nikita Zhivotovskiy
68
2
0
21 Feb 2023
Revisiting Le Cam's Equation: Exact Minimax Rates over Convex Density
  Classes
Revisiting Le Cam's Equation: Exact Minimax Rates over Convex Density Classes
Shamindra Shrotriya
Matey Neykov
16
2
0
20 Oct 2022
Anytime Valid Tests of Conditional Independence Under Model-X
Anytime Valid Tests of Conditional Independence Under Model-X
Peter Grünwald
A. Henzi
Tyron Lardy
35
17
0
26 Sep 2022
Expected Worst Case Regret via Stochastic Sequential Covering
Expected Worst Case Regret via Stochastic Sequential Covering
Changlong Wu
Mohsen Heidari
A. Grama
Wojtek Szpankowski
33
12
0
09 Sep 2022
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm
Precise Regret Bounds for Log-loss via a Truncated Bayesian Algorithm
Changlong Wu
Mohsen Heidari
A. Grama
Wojtek Szpankowski
14
8
0
07 May 2022
Cumulant-free closed-form formulas for some common (dis)similarities
  between densities of an exponential family
Cumulant-free closed-form formulas for some common (dis)similarities between densities of an exponential family
Frank Nielsen
Richard Nock
11
3
0
05 Mar 2020
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