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04/27/2023
Exponential Stochastic Inequality
We develop the concept of exponential stochastic inequality (ESI), a nov...
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02/22/2023
Safe Sequential Testing and Effect Estimation in Stratified Count Data
Sequential decision making significantly speeds up research and is more ...
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02/09/2022
The no-free-lunch theorems of supervised learning
The no-free-lunch theorems promote a skeptical conclusion that all possi...
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05/31/2019
Accumulation Bias in Meta-Analysis: The Need to Consider Time in Error Control
Studies accumulate over time and meta-analyses are mainly retrospective....
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05/31/2019
PAC-Bayes Un-Expected Bernstein Inequality
We present a new PAC-Bayesian generalization bound. Standard bounds cont...
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10/21/2017
A Tight Excess Risk Bound via a Unified PAC-Bayesian-Rademacher-Shtarkov-MDL Complexity
We present a novel notion of complexity that interpolates between and ge...
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05/01/2016
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes
We present new excess risk bounds for general unbounded loss functions i...
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07/09/2015
Fast rates in statistical and online learning
The speed with which a learning algorithm converges as it is presented w...
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07/27/2014
A Game-Theoretic Analysis of Updating Sets of Probabilities
We consider how an agent should update her uncertainty when it is repres...
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07/27/2014
When Ignorance is Bliss
It is commonly-accepted wisdom that more information is better, and that...
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07/27/2014
Updating Probabilities
As examples such as the Monty Hall puzzle show, applying conditioning to...
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01/16/2014
Making Decisions Using Sets of Probabilities: Updating, Time Consistency, and Calibration
We consider how an agent should update her beliefs when her beliefs are ...
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01/30/2013
Minimum Encoding Approaches for Predictive Modeling
We analyze differences between two information-theoretically motivated a...
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01/16/2013
Maximum Entropy and the Glasses You Are Looking Through
We give an interpretation of the Maximum Entropy (MaxEnt) Principle in g...
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01/03/2013