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<title>Channels - Adaptive Forward Stepwise: A Method for High Sparsity Regression :: FRELIP Discovery
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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Metadata-Integrated Deep Semi-Autoencoder for Implicit-Feedback Recommendation Under Data Sparsity and Cold Start
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UnAC: Adaptive Visual Prompting with Abstraction and Stepwise Checking for Complex Multimodal Reasoning
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Adaptive Distributed Kernel Ridge Regression: A Feasible Distributed Learning Scheme for Data Silos
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Inferring Change Points in High-Dimensional Regression via Approximate Message Passing
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Forward Analysis for WSTS, Part II: Complete WSTS
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Linear Hypothesis Testing in High-Dimensional Expected Shortfall Regression with Heavy-Tailed Errors
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Input Sparsity‐Aware Computing‐In‐Memory with Bidirectional Conversion‐Skippable Analog‐to‐Digital Converter
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
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Forward Analysis for WSTS, Part III: Karp-Miller Trees
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Exploring Novel Uncertainty Quantification through Forward Intensity Function Modeling
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On-Demand Augmentation for Long-Tail Data Through Subset- and Topic-Driven Sparsity Identification Framework
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Online Quantile Regression
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Discovery of a Roman Quarry for Pozzolanic aggregates in the Euganean Hills Magmatic District, Northeast Italy: A stepwise archaeometric approach
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Scalable and Adaptive Variational Bayes Methods for Hawkes Processes
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Maximum Causal Entropy IRL in Mean-Field Games and GNEP Framework for Forward RL
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Trajectory Optimization for Highly Articulated Robots based on Sparsity–Free Local Direct Collocation
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Development and evaluation of a stepwise clinical competency development program for new nurses: A single-group repeated-measures quasi-experimental study
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A Current Feed-Forward Method With Enhanced PLL Characteristics for Grid-Connected Inverter Under Weak Grid
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Rank-one Convexification for Sparse Regression
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Nonlinear function-on-function regression by RKHS
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On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations
