Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)

Abstract

This is the Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence, which was held in Montreal, QC, Canada, June 18 - 21 2009.

Cited by in corpus (9)

• TopologyNet: Topology based deep convolutional neural networks for biomolecular property predictions
• Economic Complexity Unfolded: Interpretable Model for the Productive Structure of Economies
• Category-Specific CNN for Visual-aware CTR Prediction at JD.com
• Generalized Thompson Sampling for Sequential Decision-Making and Causal Inference
• Quantitative probing: Validating causal models using quantitative domain knowledge
• Confidence in Causal Inference under Structure Uncertainty in Linear Causal Models with Equal Variances
• DANI: Fast Diffusion Aware Network Inference with Preserving Topological Structure Property
• ApproxDARTS: Differentiable Neural Architecture Search with Approximate Multipliers
• Empowering Differential Networks Using Bayesian Analysis