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      The balance between paraelectricity and ferroelectricity in non-chiral smectic homologs

      December 29, 2024

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      Physics
      Materials Science
      Soft Condensed Matter
      Materials Science
      Soft Condensed Matter
      Non-chiral liquid crystals (LCs) exhibiting ferroelectricity, distinguished by their dynamic responsiveness to external stimuli and high spontaneous polarization, provide renewed impetus for research into this area of soft matter and open n...

      A Particle Algorithm for Mean-Field Variational Inference

      December 29, 2024

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      Mathematics
      Computer Science
      Statistics
      Statistics Theory
      Machine Learning
      Optimization and Control
      Machine Learning
      Statistics Theory
      Statistics Theory
      Machine Learning
      Optimization and Control
      Machine Learning
      Statistics Theory
      Variational inference is a fast and scalable alternative to Markov chain Monte Carlo and has been widely applied to posterior inference tasks in statistics and machine learning. A traditional approach for implementing mean-field variational...

      On the Convergence of Min-Max Langevin Dynamics and Algorithm

      December 29, 2024

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      Computer Science
      Mathematics
      Statistics
      Computer Science and Game Theory
      Machine Learning
      Optimization and Control
      Machine Learning
      Computer Science and Game Theory
      Machine Learning
      Optimization and Control
      Machine Learning
      We study zero-sum games in the space of probability distributions over the Euclidean space Rd\mathbb{R}^dRd with entropy regularization, in the setting when the interaction function between the players is smooth and strongly convex-strongly c...

      Predicting Long Term Sequential Policy Value Using Softer Surrogates

      December 29, 2024

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      Computer Science
      Artificial Intelligence
      Machine Learning
      Artificial Intelligence
      Machine Learning
      Off-policy policy evaluation (OPE) estimates the outcome of a new policy using historical data collected from a different policy. However, existing OPE methods cannot handle cases when the new policy introduces novel actions. This issue com...

      Edge of Stochastic Stability: Revisiting the Edge of Stability for SGD

      December 29, 2024

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      Computer Science
      Mathematics
      Statistics
      Machine Learning
      Optimization and Control
      Machine Learning
      Machine Learning
      Optimization and Control
      Machine Learning
      Recent findings by Cohen et al., 2021, demonstrate that when training neural networks with full-batch gradient descent with a step size of η\etaη, the largest eigenvalue λmax⁡\lambda_{\max}λmax​ of the full-batch Hessian consistently stabilizes at ...

      Six-Functor Formalisms III: The construction and extension of 6FFs

      December 29, 2024

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      Mathematics
      Algebraic Geometry
      K-Theory and Homology
      Algebraic Geometry
      K-Theory and Homology
      This article is the last of the series of articles where we reprove the foundational ideas of abstract six-functor formalisms developed by Liu-Zheng. We prove the theorem of partial adjoints, which is a simplicial technique of encoding vari...

      Regulating radiology AI medical devices that evolve in their lifecycle

      December 29, 2024

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      Computer Science
      Computers and Society
      Computers and Society
      Over time, the distribution of medical image data drifts due to factors such as shifts in patient demographics, acquisition devices, and disease manifestations. While human radiologists can adjust their expertise to accommodate such variati...

      Dynamic Adaptation in Data Storage: Real-Time Machine Learning for Enhanced Prefetching

      December 29, 2024

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      Computer Science
      Distributed, Parallel, and Cluster Computing
      Machine Learning
      Operating Systems
      Distributed, Parallel, and Cluster Computing
      Machine Learning
      Operating Systems
      The exponential growth of data storage demands has necessitated the evolution of hierarchical storage management strategies [1]. This study explores the application of streaming machine learning [3] to revolutionize data prefetching within ...

      Optimizing SSD Caches for Cloud Block Storage Systems Using Machine Learning Approaches

      December 29, 2024

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      Computer Science
      Distributed, Parallel, and Cluster Computing
      Machine Learning
      Operating Systems
      Distributed, Parallel, and Cluster Computing
      Machine Learning
      Operating Systems
      The growing demand for efficient cloud storage solutions has led to the widespread adoption of Solid-State Drives (SSDs) for caching in cloud block storage systems. The management of data writes to SSD caches plays a crucial role in improvi...

      One-loop Matching Factors for Singlet Quasi-Parton Distribution Functions in the Hybrid-Ratio Scheme

      December 29, 2024

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      Physics
      High Energy Physics - Lattice
      High Energy Physics - Phenomenology
      High Energy Physics - Lattice
      High Energy Physics - Phenomenology
      The one loop matching kernels between parton distribution functions (PDFs) for parton i=u,d,s,gi=u,d,s,gi=u,d,s,g and their corresponding quasi-PDFs are computed at one loop in the hybrid-ratio scheme. We found that, in addition to the conservation of the ...
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