Quick Summary: Time: Wednesday, March 18 2026, 12:30-1:30 PM Speaker: Adela DePavia (University of Chicago) Abstract: In this paper, we give a simple new characterization that illuminates the core problem of

Understanding Generalization In Adaptive Data Analysis -

Time: Wednesday, March 18 2026, 12:30-1:30 PM Speaker: Adela DePavia (University of Chicago) Abstract: In this paper, we give a simple new characterization that illuminates the core problem of Speaker: Gintare Karolina (Element AI) Abstract: There is, as yet, no satisfying theory

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  • Time: Wednesday, March 18 2026, 12:30-1:30 PM Speaker: Adela DePavia (University of Chicago) Abstract:
  • In this paper, we give a simple new characterization that illuminates the core problem of
  • Speaker: Gintare Karolina (Element AI) Abstract: There is, as yet, no satisfying theory
  • Author: Rachel Cummings, Katrina Ligett, Zhiwei Steven Wu, Aaron Roth, Kobbi Nissim.
  • Vitaly Feldman, IBM Almaden Computational Challenges in Machine Learning ...

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Understanding Generalization in Adaptive Data Analysis
Adela DePavia - "Understanding and Leveraging Adaptive Algorithms’ Sensitivity to Change-of-Basis"
Moshe Shenfeld - Generalization in the Face of Adaptivity: A Bayesian Perspective
Preserving Validity in Adaptive Data Analysis
Lecture 16B: Adaptive Data Analysis - Proofs
The Limits of Post-Selection Generalization
Lecture 1: Understanding Generalization Requires Rethinking Deep Learning (English)
Adaptive Learning with Robust Generalization Guarantees
What Is Data Mining Model Generalization? - AI and Machine Learning Explained
Lecture 8: Progress Towards Understanding Generalization in Deep Learning (English)
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Understanding Generalization in Adaptive Data Analysis

Understanding Generalization in Adaptive Data Analysis

Vitaly Feldman, IBM Almaden Computational Challenges in Machine Learning ...

Adela DePavia - "Understanding and Leveraging Adaptive Algorithms’ Sensitivity to Change-of-Basis"

Adela DePavia - "Understanding and Leveraging Adaptive Algorithms’ Sensitivity to Change-of-Basis"

Time: Wednesday, March 18 2026, 12:30-1:30 PM Speaker: Adela DePavia (University of Chicago) Abstract:

Moshe Shenfeld - Generalization in the Face of Adaptivity: A Bayesian Perspective

Moshe Shenfeld - Generalization in the Face of Adaptivity: A Bayesian Perspective

In this paper, we give a simple new characterization that illuminates the core problem of

Preserving Validity in Adaptive Data Analysis

Preserving Validity in Adaptive Data Analysis

Read more details and related context about Preserving Validity in Adaptive Data Analysis.

Lecture 16B: Adaptive Data Analysis - Proofs

Lecture 16B: Adaptive Data Analysis - Proofs

For accompanying lecture notes and readings, see the course website:

The Limits of Post-Selection Generalization

The Limits of Post-Selection Generalization

Uri Stemmer (Ben Gurion University) Privacy and the Science of

Lecture 1: Understanding Generalization Requires Rethinking Deep Learning (English)

Lecture 1: Understanding Generalization Requires Rethinking Deep Learning (English)

Read more details and related context about Lecture 1: Understanding Generalization Requires Rethinking Deep Learning (English).

Adaptive Learning with Robust Generalization Guarantees

Adaptive Learning with Robust Generalization Guarantees

Author: Rachel Cummings, Katrina Ligett, Zhiwei Steven Wu, Aaron Roth, Kobbi Nissim.

What Is Data Mining Model Generalization? - AI and Machine Learning Explained

What Is Data Mining Model Generalization? - AI and Machine Learning Explained

Read more details and related context about What Is Data Mining Model Generalization? - AI and Machine Learning Explained.

Lecture 8: Progress Towards Understanding Generalization in Deep Learning (English)

Lecture 8: Progress Towards Understanding Generalization in Deep Learning (English)

Speaker: Gintare Karolina (Element AI) Abstract: There is, as yet, no satisfying theory