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A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits
Neural Information Processing Systems
OFUGLB outperforms or is at par with prior algorithms for logistic bandits.
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- North America > United States > Arizona > Pima County > Tucson (0.14)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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- Information Technology > Artificial Intelligence > Machine Learning > Learning Graphical Models (0.45)
Distributional Successor Features Enable Zero-Shot Policy Optimization
Neural Information Processing Systems
Intelligent agents must be generalists, capable of quickly adapting to various tasks.
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- Europe > Austria (0.04)
- North America > United States > Maryland > Baltimore (0.04)
- North America > United States > Louisiana > Orleans Parish > New Orleans (0.04)
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- Information Technology > Biomedical Informatics (0.93)
Large Language Models as Urban Residents: An LLM Agent Framework for Personal Mobility Generation
Neural Information Processing Systems
This paper introduces a novel approach using Large Language Models (LLMs) integrated into an agent framework for flexible and effective personal mobility generation. LLMs overcome the limitations of previous models by effectively processing semantic data and offering versatility in modeling various tasks.
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- Information Technology > Artificial Intelligence > Natural Language (0.69)
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- Asia > Japan > Honshū > Kantō > Tokyo Metropolis Prefecture > Tokyo (0.04)
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LoCo: Learning 3D Location-Consistent Image Features with a Memory-Efficient Ranking Loss
Neural Information Processing Systems
Figure 1: Our approach--LoCo--offers memory-efficient learning of location-consistent (LoCo) features.
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- Europe > United Kingdom > England > Oxfordshire > Oxford (0.04)
- Europe > United Kingdom > England > Cambridgeshire > Cambridge (0.04)
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