🏢 USC
Transductive Learning is Compact
·325 words·2 mins·
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AI Theory
Optimization
🏢 USC
Supervised learning’s sample complexity is compact: a hypothesis class is learnable if and only if all its finite projections are learnable, simplifying complexity analysis.
Active Sequential Posterior Estimation for Sample-Efficient Simulation-Based Inference
·1971 words·10 mins·
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AI Applications
Smart Cities
🏢 USC
Active Sequential Neural Posterior Estimation (ASNPE) boosts simulation-based inference efficiency by actively selecting informative simulation parameters, significantly outperforming existing methods…