- Algorithmic Stability and Hypothesis Complexity🔍
- Algorithmic Stability and Generalization Performance🔍
- Black|box tests for algorithmic stability🔍
- Algorithmic Stability🔍
- Is Algorithmic Stability Testable? A Unified Framework under ...🔍
- Stability and Generalization🔍
- Algorithmic Stability and Sanity|Check Bounds for Leave|One|Out ...🔍
- Machine Unlearning via Algorithmic Stability🔍
Algorithmic Stability
Stability (learning theory) - Wikipedia
Stability, also known as algorithmic stability, is a notion in computational learning theory of how a machine learning algorithm output is changed with ...
Algorithmic Stability and Hypothesis Complexity - arXiv
We introduce a notion of algorithmic stability of learning algorithms—that we term argument sta- bility—that captures stability of the hypothesis output by the ...
Algorithmic Stability and Generalization Performance
The bounds we obtain do not depend on any measure of the complexity of the hypothesis space (e.g. VC dimension) but rather depend on how the learning algorithm ...
Black-box tests for algorithmic stability - Oxford Academic
In this work, we lay out a formal statistical framework for this kind of black-box testing without any assumptions on the algorithm or the data distribution.
Algorithmic Stability: How AI Could Shape the Future of Deterrence
Artificial intelligence and machine learning are reshaping national security and crisis management. This report delves into the future of ...
Is Algorithmic Stability Testable? A Unified Framework under ... - arXiv
We develop a unified framework for quantifying the hardness of testing algorithmic stability, which establishes that across all settings, if the ...
Stability and Generalization - Journal of Machine Learning Research
We define notions of stability for learning algorithms and show how to use these notions to derive generalization error bounds based on the empirical error and ...
Algorithmic Stability and Generalization Performance - NIPS
Abstract. We present a novel way of obtaining PAC-style bounds on the gen(cid:173) eralization error of learning algorithms, explicitly using their stabil(cid: ...
Algorithmic Stability and Sanity-Check Bounds for Leave-One-Out ...
... algorithm under consideration: some form of algorithmic stability is required [3, 9, 13]. If the removal of even a single example from the training sample ...
Machine Unlearning via Algorithmic Stability
For convex risk minimization problems, we design TV-stable algorithms based on noisy Stochastic Gradient. Descent (SGD). Our key contribution is the design of ...
Algorithmic stability for adaptive data analysis - ACM Digital Library
We seek an algorithm that, given x as input, accurately answers a sequence of adaptively chosen queries about the unknown distribution P.
On the Algorithmic Stability of Adversarial Training
While the non-differentiability problem seriously affects the stability of adversarial training, injecting noise enables the training trajectory to avoid the ...
Algorithmic Stability and Uniform Generalization - NIPS papers
This includes the necessary and sufficient conditions for generalization from a given finite training set to new observations. In this paper, we prove that ...
Algorithmic Stability and Meta-Learning
A mechnism of transfer learning is analysed, where samples drawn from different learning tasks of an environment are used to improve the learners performance on ...
Almost-everywhere algorithmic stability and generalization error
We introduce the new notion of training stability of a learning algorithm and show that, in a general setting, it is sufficient for good bounds on ...
Stability of machine learning algorithms - Purdue e-Pubs
In the literature, the predictive accuracy is often the primary criterion for evaluating a learning algorithm. In this thesis, I will introduce novel ...
Concentration in unbounded metric spaces and algorithmic stability
Concentration in unbounded metric spaces and algorithmic stabilityAryeh KontorovichWe prove an extension of McDiarmid's inequality for metric spaces with ...
Algorithmic Stability 1 Uniform stability - Washington
Algorithmic Stability. Lecturer: Ofer Dekel. Scribe: Thach Nguyen. The goal of this lecture is to establish risk bounds that depend on the learning algorithm A ...
Algorithmic stability: mathematical foundations for the modern era
Algorithmic stability: mathematical foundations for the modern era ... This workshop, sponsored by AIM and the NSF, will be devoted to building a foundational ...
Stable algorithm · In computer science, a stable sorting algorithm preserves the order of records with equal keys. · In numerical analysis, a numerically stable ...