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Found 4 papers, 1 papers with code
Learning Compiler Pass Orders using Coreset and Normalized Value Prediction
Finding the optimal pass sequence of compilation can lead to a significant reduction in program size and/or improvement in program efficiency.
Sobolev Norm Learning Rates for Conditional Mean Embeddings
We develop novel learning rates for conditional mean embeddings by applying the theory of interpolation for reproducing kernel Hilbert spaces (RKHS).
Sample Efficient Graph-Based Optimization with Noisy Observations
We study sample complexity of optimizing "hill-climbing friendly" functions defined on a graph under noisy observations.
A Continuation Method for Discrete Optimization and its Application to Nearest Neighbor Classification
We show the effectiveness of the proposed technique in the problem of nearest neighbor classification.
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