| Probing the Pareto frontier for basis pursuit solutions E Van Den Berg, MP Friedlander Siam journal on scientific computing 31 (2), 890-912, 2009 | 2387 | 2009 |
| Evidence for the utility of quantum computing before fault tolerance Y Kim, A Eddins, S Anand, KX Wei, E Van Den Berg, S Rosenblatt, ... Nature 618 (7965), 500-505, 2023 | 716 | 2023 |
| SPGL1: A solver for large-scale sparse reconstruction E van den Berg, MP Friedlander Online: http://www. cs. ubc. ca/labs/scl/spgl1, 2007 | 683* | 2007 |
| 1-Bit Matrix Completion MA Davenport, Y Plan, E Berg, M Wootters arXiv preprint arXiv:1209.3672, 2012 | 409 | 2012 |
| SLOPE—adaptive variable selection via convex optimization M Bogdan, E Van Den Berg, C Sabatti, W Su, EJ Candès The annals of applied statistics 9 (3), 1103, 2015 | 343 | 2015 |
| Optimizing costly functions with simple constraints: A limited-memory projected quasi-newton algorithm M Schmidt, E Berg, M Friedlander, K Murphy Artificial intelligence and statistics, 456-463, 2009 | 335 | 2009 |
| Sparse optimization with least-squares constraints E van den Berg, MP Friedlander SIAM Journal on Optimization 21 (4), 1201-1229, 2011 | 296 | 2011 |
| Joint-sparse recovery from multiple measurements E Berg, MP Friedlander Arxiv preprint arXiv:0904.2051, 2009 | 259* | 2009 |
| Probabilistic error cancellation with sparse Pauli–Lindblad models on noisy quantum processors E Van Den Berg, ZK Minev, A Kandala, K Temme Nature physics 19 (8), 1116-1121, 2023 | 252 | 2023 |
| Estimating information flow in deep neural networks Z Goldfeld, E Berg, K Greenewald, I Melnyk, N Nguyen, B Kingsbury, ... arXiv preprint arXiv:1810.05728, 2018 | 166 | 2018 |
| Statistical estimation and testing via the ordered l1 norm M lgorzata Bogdana, E van den Bergb, W Suc, EJ Candesc | 136* | 2013 |
| Model-free readout-error mitigation for quantum expectation values E Van Den Berg, ZK Minev, K Temme Physical Review A 105 (3), 032620, 2022 | 132 | 2022 |
| Group sparsity via linear-time projection E van den Berg, M Schmidt, MP Friedlander, K Murphy Dept. Comput. Sci., Univ. British Columbia, Vancouver, BC, Canada, 2008 | 108 | 2008 |
| Sparco: A testing framework for sparse reconstruction E van den Berg, MP Friedlander, G Hennenfent, F Herrmann, R Saab, ... Dept. Comput. Sci., Univ. British Columbia, Vancouver, Tech. Rep. TR-2007-20 …, 2007 | 89 | 2007 |
| New insights into one-norm solvers from the Pareto curve G Hennenfent, E Berg, MP Friedlander, FJ Herrmann Geophysics 73 (4), A23-A26, 2008 | 82 | 2008 |
| Circuit optimization of Hamiltonian simulation by simultaneous diagonalization of Pauli clusters E Van Den Berg, K Temme Quantum 4, 322, 2020 | 55 | 2020 |
| Algorithm 890: Sparco: A testing framework for sparse reconstruction E Van Den Berg, MP Friedlander, G Hennenfent, FJ Herrmann, R Saab, ... ACM Transactions on Mathematical Software (TOMS) 35 (4), 1-16, 2009 | 52 | 2009 |
| In pursuit of a root E van den Berg, MP Friedlander Tech. Rep. TR-2007-19, Department of Computer Science, University of British …, 2007 | 45 | 2007 |
| Spot-a linear-operator toolbox E Van den Berg, MP Friedlander URL http://www. cs. ubc. ca/labs/scl/spot, 2014 | 44 | 2014 |
| Annealed dropout training of neural networks V Goel, SJ Rennie, S Thomas, E VAN DEN BERG US Patent 10,380,484, 2019 | 33 | 2019 |
