Towards Optimal Inventory Control under Censored Demand: A Biased Sample-Average Approximation Approach
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New papers, breakthroughs and academic AI research
Equivariant Sheaf Neural Networks: Learning Geometric Transport on Graphs
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Geometry-aware Latent Autoregressive Generative Model for PDEs in Complex Domains
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Principal Component Regression Dominates all Monotone Spectral Filters for Linear Regression
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Revisit to Segment: Working Memory Distillation for Reasoning Segmentation
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Dec-BFTRL: Squre-Root Regret for Decentralized Online Upper-Linearizable Optimization under Separation Access with Application to Continuous Submodular Maximization
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Attention Is All You Need (to Avoid Spurious Oscillations)
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Distributionally robust linear regression through the lens of adversarial training
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About the Influence of Workflow Topology on Task Intensity Prediction through Graph Learning
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WEIRDO: WEak resIdual Regularized DOob's h-transform diffusion alignment
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From Scores to Samples: Elastic Forcing for Autoregressive Video Generation
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I Don't Miss You, but I Do: Self-Explanation Faithfulness of Modality Missingness in Vision-Language Models
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