| 2022 | COLT | Hardness of Maximum Likelihood Learning of DPPs. | Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie |
| 2021 | AISTATS | List Learning with Attribute Noise. | Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie |
| 2021 | ISAAC | Identity Testing Under Label Mismatch. | Clment L. Canonne, Karl Wimmer |
| 2016 | ICALP | AC^0 o MOD_2 Lower Bounds for the Boolean Inner Product. | Mahdi Cheraghchi, Elena Grigorescu, Brendan Juba, Karl Wimmer, Ning Xie |
| 2015 | SODA | Approximate resilience, monotonicity, and the complexity of agnostic learning. | Dana Dachman-Soled, Vitaly Feldman, Li-Yang Tan, Andrew Wan, Karl Wimmer |
| 2014 | ICALP | Optimal Query Complexity for Estimating the Trace of a Matrix. | Karl Wimmer, Yi Wu, Peng Zhang |
| 2013 | ICALP | Testing Linear-Invariant Function Isomorphism. | Karl Wimmer, Yuichi Yoshida |
| 2010 | FOCS | Agnostically Learning under Permutation Invariant Distributions. | Karl Wimmer |
| 2009 | COLT | New Results for Random Walk Learning. | Jeffrey C. Jackson, Karl Wimmer |
| 2009 | FOCS | KKL, Kruskal-Katona, and Monotone Nets. | Ryan O'Donnell, Karl Wimmer |
| 2009 | ICALP | Testing Fourier Dimensionality and Sparsity. | Parikshit Gopalan, Ryan O'Donnell, Rocco A. Servedio, Amir Shpilka, Karl Wimmer |
| 2008 | COLT | Polynomial Regression under Arbitrary Product Distributions. | Eric Blais, Ryan O'Donnell, Karl Wimmer |
| 2007 | ICALP | Approximation by DNF: Examples and Counterexamples. | Ryan O'Donnell, Karl Wimmer |