linear programming
PulseAugur coverage of linear programming — every cluster mentioning linear programming across labs, papers, and developer communities, ranked by signal.
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Modal cuts AI inference cold starts by 40x with new GPU techniques
Modal has developed a new method to significantly reduce inference cold start times for AI models. By employing techniques like LP, FUSE, C/R, and CUDA-checkpointing, they achieved a 40x improvement in inference speed. …
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Researchers develop new training methods for neural networks to improve MILP tractability
Researchers have developed new training regularizers for neural network surrogate models that directly improve their tractability within mixed-integer linear programs (MILPs). These regularizers penalize factors like bi…
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SOC-ICNN: From Polyhedral to Conic Geometry for Learning Convex Surrogate Functions
Researchers have introduced SOC-ICNN, a novel neural network architecture that expands the representational capabilities beyond classical ReLU-based Input Convex Neural Networks (ICNNs). By generalizing from Linear Prog…