| 2024 | AISTATS | On the Nystrm Approximation for Preconditioning in Kernel Machines. | Amirhesam Abedsoltan, Parthe Pandit, Luis Rademacher, Mikhail Belkin |
| 2020 | SODA | Efficiency of the floating body as a robust measure of dispersion. | Joseph Anderson, Luis Rademacher |
| 2018 | STOC | The minimum euclidean-norm point in a convex polytope: Wolfe's combinatorial algorithm is exponential. | Jess A. De Loera, Jamie Haddock, Luis Rademacher |
| 2017 | AAAI | Heavy-Tailed Analogues of the Covariance Matrix for ICA. | Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher |
| 2016 | AAAI | The Hidden Convexity of Spectral Clustering. | James R. Voss, Mikhail Belkin, Luis Rademacher |
| 2016 | COLT | Basis Learning as an Algorithmic Primitive. | Mikhail Belkin, Luis Rademacher, James R. Voss |
| 2015 | FOCS | Heavy-Tailed Independent Component Analysis. | Joseph Anderson, Navin Goyal, Anupama Nandi, Luis Rademacher |
| 2014 | COLT | The More, the Merrier: the Blessing of Dimensionality for Learning Large Gaussian Mixtures. | Joseph Anderson, Mikhail Belkin, Navin Goyal, Luis Rademacher, James R. Voss |
| 2013 | COLT | Efficient Learning of Simplices. | Joseph Anderson, Navin Goyal, Luis Rademacher |
| 2013 | COLT | Blind Signal Separation in the Presence of Gaussian Noise. | Mikhail Belkin, Luis Rademacher, James R. Voss |
| 2010 | FOCS | Efficient Volume Sampling for Row/Column Subset Selection. | Amit Deshpande, Luis Rademacher |
| 2009 | COLT | Learning Convex Bodies is Hard. | Luis Rademacher, Navin Goyal |
| 2009 | SODA | Expanders via random spanning trees. | Navin Goyal, Luis Rademacher, Santosh S. Vempala |
| 2006 | FOCS | Dispersion of Mass and the Complexity of Randomized Geometric Algorithms. | Luis Rademacher, Santosh S. Vempala |
| 2006 | ICALP | Computing Equilibrium Prices in Exchange Economies with Tax Distortions. | Bruno Codenotti, Luis Rademacher, Kasturi R. Varadarajan |
| 2006 | SODA | Matrix approximation and projective clustering via volume sampling. | Amit Deshpande, Luis Rademacher, Santosh S. Vempala, Grant Wang |