In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of updating the weight parameters after assessing the entire dataset, Mini Batch ...
The relentless advancement of artificial intelligence (AI) across sectors such as healthcare, the automotive industry, and social media necessitates the development of more efficient hardware ...
Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
The aim of this work was to study the application of a stochastic algorithm to correlate the experimental data of island-type systems in ternary systems. Thermodynamic NRTL and UNIQUAC models were ...
When AI assistants make decisions - whether writing code, solving problems, or suggesting improvements - they often fall into patterns of "local thinking", similar to how we might get stuck trying the ...
Truong Vo (MLDS '25) shared his research findings for a new machine learning algorithm at the IEEE International Conference on Big Data. The world record for most pieces in a jigsaw puzzle is 551,232 ...
Abstract: Decentralized optimization is typically studied under the assumption of noise-free transmission. However, real-world scenarios often involve the presence of noise due to factors such as ...
Abstract: This talk is based on a joint work with Soheil Behnezhad, Alma Ghafari, and Ronitt Rubinfeld, to appear in STOC'25, https://arxiv.org/abs/2411.08805. We ...
ABSTRACT: A systematic withdrawal plan refers to monthly withdrawals from an appreciating fund, especially to provide retirement income. This study proposes a stochastic algorithm that outputs the ...
A systematic withdrawal plan refers to monthly withdrawals from an appreciating fund, especially to provide retirement income. This study proposes a stochastic algorithm that outputs the initial ...