by instadatahelp | Sep 2, 2023 | AI Blogs
The Implicit Bias of Benign Overfitting By Ohad Shamir; Published in 2023; Volume 24, Issue 113: Pages 1-40 Abstract Benign overfitting, a phenomenon where a predictor perfectly fits noisy training data while achieving near-optimal expected loss, has gained...
by instadatahelp | Sep 2, 2023 | AI Blogs
Click-through rate (CTR) prediction is a crucial challenge in recommendation systems. Several public CTR datasets have emerged, but they have certain limitations. Firstly, existing datasets only include data from a single scenario and same type of items, while users...
by instadatahelp | Sep 2, 2023 | AI Blogs
Theoretical Equivalence of Trade-Off Curves for Statistical Proximity Assessment Rodrigue Siry, Ryan Webster, Loic Simon, Julien Rabin; 24(185):1−34, 2023. Abstract The development of quantitative measures to assess the proximity of two probability distributions has...
by instadatahelp | Sep 2, 2023 | AI Blogs
The effectiveness of implicit neural networks in different tasks has been proven. However, there is a need for theoretical analysis to understand the connections and distinctions between implicit and explicit networks. This study focuses on high-dimensional implicit...
by instadatahelp | Sep 2, 2023 | AI Blogs
Learning Good State and Action Representations for Markov Decision Process via Tensor Decomposition Chengzhuo Ni, Yaqi Duan, Munther Dahleh, Mengdi Wang, Anru R. Zhang; 24(115):1−53, 2023. Abstract This paper presents a novel unsupervised learning approach that...
by instadatahelp | Sep 2, 2023 | AI Blogs
The detection of Extreme Mass Ratio Inspirals (EMRIs) is challenging due to their complex waveforms, long duration, and low signal-to-noise ratio (SNR). This makes them harder to identify compared to compact binary coalescences. While matched filtering techniques are...
by instadatahelp | Sep 2, 2023 | AI Blogs
Learning a Predictive Function for Hyper-parameters Conditioned on Tasks Authors: Jun Shu, Deyu Meng, Zongben Xu; Published in 2023, Volume 24, Issue 186, Pages 1-74. Abstract Recently, meta learning has gained significant attention in the machine learning community....
by instadatahelp | Sep 2, 2023 | AI Blogs
The field of integrated circuits has long struggled with automating the design of analog circuits. This is due to the complexity of circuit specifications and the vast design space. Previous research has mainly focused on automating transistor sizing within a given...
by instadatahelp | Sep 2, 2023 | AI Blogs
Deep linear networks can overfit benignly when shallow ones do Authors: Niladri S. Chatterji, Philip M. Long; Published in 2023, Vol. 24(117), Pages 1-39. Abstract This study focuses on bounding the excess risk of interpolating deep linear networks trained using...
by instadatahelp | Sep 2, 2023 | AI Blogs
We propose a method to achieve a balance between the Local and Global Structures (LGS) in graph embedding. This is achieved through the use of a tunable parameter. While some embedding techniques focus on capturing global structures, and others prioritize preserving...
