Selective Inference with Distributed Data

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Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization

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An Axiomatic Definition of Hierarchical Clustering

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Test-Time Training on Video Streams

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Adaptive Client Sampling in Federated Learning via Online Learning with Bandit Feedback

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A Random Matrix Approach to Low-Multilinear-Rank Tensor Approximation

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Memory Gym: Towards Endless Tasks to Benchmark Memory Capabilities of Agents

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Enhancing Graph Representation Learning with Localized Topological Features

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Deep Out-of-Distribution Uncertainty Quantification via Weight Entropy Maximization

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DisC2o-HD: Distributed causal inference with covariates shift for analyzing real-world high-dimensional data

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Bayes Meets Bernstein at the Meta Level: an Analysis of Fast Rates in Meta-Learning with PAC-Bayes

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Efficiently Escaping Saddle Points in Bilevel Optimization

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Global research trends and thematic evolution in humanoid robotics: a scientometric and text mining study

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A new hybrid physics-guided AI algorithm for water quality prediction supported by variable coefficients advection-diffusion model

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Status applications and prospects of AI integration in maritime education implications for curriculum planning

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Generative AI for adaptive curriculum design enhances student performance and engagement in technology enhanced learning environments

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Physics-informed and transferable explainable AI framework for reliable prediction of tunnel-induced settlement in coastal environments

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Advancing the generation and integration of traditional motifs through AI-based techniques

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Using AI large language models to assess dental history in systemic conditions

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Digital sales automation and buyer engagement: investigating the mediating role of perceived value in B2B exchanges

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