5 papers:
ICML-2015-NockPF- Rademacher Observations, Private Data, and Boosting (RN, GP, AF), pp. 948–956.
KDD-2015-RiondatoU #mining- Mining Frequent Itemsets through Progressive Sampling with Rademacher Averages (MR, EU), pp. 1005–1014.
- KDD-2015-RiondatoU15a #algorithm #learning #statistics
- VC-Dimension and Rademacher Averages: From Statistical Learning Theory to Sampling Algorithms (MR, EU), pp. 2321–2322.
ICALP-v1-2012-VerbinZ #distance #named #sketching- Rademacher-Sketch: A Dimensionality-Reducing Embedding for Sum-Product Norms, with an Application to Earth-Mover Distance (EV, QZ), pp. 834–845.
WLC-2000-YasugiW- A Note on Rademacher Functions and Computability (MY, MW), pp. 466–475.
