A Cornell University fellow develops strategies to extract more than correlations from algorithms’ predictions.
Abstract: Causal inference and root cause analysis play a crucial role in network performance evaluation and optimization by identifying critical parameters and explaining how the configuration ...
Abstract: Stock trend forecasting, which aims to predict future fluctuations of stock price, has garnered significant attention in recent years. However, it is quite hard to train a model that can ...
The 3rd Workshop on Causal Inference and Machine Learning in Practice at KDD 2025 aims to bring together researchers, industry professionals, and practitioners to explore the application of causal ...
This package includes an inference demo console script that you can use to run inference. This script includes benchmarking and accuracy checking features that are useful for developers to verify that ...
Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...
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