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2 days ago · From Generalization Analysis to Optimization Designs for State Space Models ... Generalized Models and Efficient Algorithms Through Structured State Space ...
4 days ago · (2023a) proposed a PO-based algorithm with rate-optimal regret guarantees under the linear Markov Decision Process (MDP) model. However, their algorithm relies ...
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5 days ago · 13 to simulate classical spin models with a discrete state space. Our goal in this section is to generalize the algorithm to sample probability distributions ...
2 days ago · The NYU Center for Data Science is a focal point for New York University's university-wide initiative in data science and statistics.
1 day ago · proposed an innovative methodology for predicting the strength of UHPC and optimizing its design and developed ML models for the compressive stress–strain and ...
4 days ago · This systematic review explores the integration of 4D/3D printing technologies with machine learning, shaping a new era of manufacturing innovation.
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5 days ago · When analyzing the numerical characteristics of training data, we adopt two ways to achieve the target value: Y' is model inference of downstream tasks by ...
6 days ago · In this paper, we pioneer the use of stochastic differential equations (SDEs) to analyze and compare Minimax optimizers. Our SDE models for Stochastic Gradient ...
5 days ago · Given this surge in interest, this article provides a comprehensive summary of the theoretical foundations and breakthroughs concerning the approximation and ...
15 hours ago · Machine learning analysis plans for randomised controlled trials: detecting ... Influence on Confidence Regions for Regression Coefficients in Generalized Linear ...
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