Rademacher, Luis

1. The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures
   2013/11/12 by Anderson, Joseph, Belkin, Mikhail, Goyal, Navin +2 · 2 citations
   #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
2. Expanders via Random Spanning Trees
   2008/07/09 by Goyal, Navin, Rademacher, Luis, Vempala, Santosh · 1 citation
   #Discrete Mathematics (cs.DM) #FOS: Computer and information sciences #Networking and Internet Architecture (cs.NI)
3. Improved bounds for the expected number of k-sets
   2021/06/09 by Leroux, Brett, Rademacher, Luis · 1 citation
   #05C30 #52C05 #52C10 #60D05 #68Q25 #Combinatorics (math.CO) #FOS: Mathematics #Metric Geometry (math.MG) #Probability (math.PR)
4. Expansion of random 0/1 polytopes
   2022/07/08 by Brett Leroux, Leroux, Brett, Luis Rademacher +1 · 1 citation
   Mathematics · #52B05 #52B11 #52B12 #60G50 #68W20 #Advanced Combinatorial Mathematics #Combinatorics (math.CO) #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Probability (math.PR) #Stochastic processes and statistical mechanics
5. On the Nystrom Approximation for Preconditioning in Kernel Machines
   2023/12/06 by Abedsoltan, Amirhesam, Pandit, Parthe, Rademacher, Luis +1 · 1 citation
   #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
6. Expected extremal area of facets of random polytopes
   2025/01/15 by Leroux, Brett, Rademacher, Luis, Schütt, Carsten +1 · 1 citation
   #FOS: Mathematics #Metric Geometry (math.MG) #Probability (math.PR)