| A sampling Kaczmarz--Motzkin algorithm for linear feasibility JA De Loera, J Haddock, D Needell SIAM Journal on Scientific Computing 39 (5), S66-S87, 2017 | 83 | 2017 |
| Greed works: An improved analysis of sampling Kaczmarz--Motzkin J Haddock, A Ma SIAM Journal on Mathematics of Data Science 3 (1), 342-368, 2021 | 46 | 2021 |
| On Motzkin’s method for inconsistent linear systems J Haddock, D Needell BIT Numerical Mathematics 59, 387-401, 2019 | 34 | 2019 |
| Quantile-based iterative methods for corrupted systems of linear equations J Haddock, D Needell, E Rebrova, W Swartworth SIAM Journal on Matrix Analysis and Applications 43 (2), 605-637, 2022 | 31 | 2022 |
| Nonbacktracking spectral clustering of nonuniform hypergraphs P Chodrow, N Eikmeier, J Haddock SIAM Journal on Mathematics of Data Science 5 (2), 251-279, 2023 | 15 | 2023 |
| On a guided nonnegative matrix factorization J Vendrow, J Haddock, E Rebrova, D Needell ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021 | 14 | 2021 |
| Neural nonnegative matrix factorization for hierarchical multilayer topic modeling M Gao, J Haddock, D Molitor, D Needell, E Sadovnik, T Will, R Zhang 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 13 | 2019 |
| Randomized projection methods for linear systems with arbitrarily large sparse corruptions J Haddock, D Needell SIAM Journal on Scientific Computing 41 (5), S19-S36, 2019 | 13 | 2019 |
| The minimum Euclidean-norm point in a convex polytope: Wolfe's combinatorial algorithm is exponential JA De Loera, J Haddock, L Rademacher Proceedings of the 50th Annual ACM SIGACT Symposium on Theory of Computing …, 2018 | 11 | 2018 |
| On large-scale dynamic topic modeling with nonnegative CP tensor decomposition M Ahn, N Eikmeier, J Haddock, L Kassab, A Kryshchenko, K Leonard, ... Advances in Data Science, 181-210, 2021 | 9 | 2021 |
| Randomized projections for corrupted linear systems J Haddock, D Needell AIP Conf. Proc 1978, 470071, 2018 | 9 | 2018 |
| Antibiotic treatment response in chronic lyme disease: why do some patients improve while others do not? L Johnson, M Shapiro, RB Stricker, J Vendrow, J Haddock, D Needell Healthcare 8 (4), 383, 2020 | 8 | 2020 |
| Semi-supervised nonnegative matrix factorization for document classification J Haddock, L Kassab, S Li, A Kryshchenko, R Grotheer, E Sizikova, ... 2021 55th Asilomar Conference on Signals, Systems, and Computers, 1355-1360, 2021 | 7* | 2021 |
| A Bayesian approach for asynchronous parallel sparse recovery A Zaeemzadeh, J Haddock, N Rahnavard, D Needell 2018 52nd Asilomar Conference on Signals, Systems, and Computers, 1980-1984, 2018 | 6 | 2018 |
| Feature selection from lyme disease patient survey using machine learning J Vendrow, J Haddock, D Needell, L Johnson Algorithms 13 (12), 334, 2020 | 5 | 2020 |
| Paving the way for consensus: Convergence of block gossip algorithms J Haddock, B Jarman, C Yap IEEE Transactions on Information Theory 68 (11), 7515-7527, 2022 | 3 | 2022 |
| A generalized hierarchical nonnegative tensor decomposition J Vendrow, J Haddock, D Needell ICASSP 2022-2022 IEEE International Conference on Acoustics, Speech and …, 2022 | 3 | 2022 |
| On Subsampled Quantile Randomized Kaczmarz J Haddock, A Ma, E Rebrova 2023 59th Annual Allerton Conference on Communication, Control, and …, 2023 | 2 | 2023 |
| Neural nonnegative matrix factorization for hierarchical multilayer topic modeling T Will, R Zhang, E Sadovnik, M Gao, J Vendrow, J Haddock, D Molitor, ... arXiv preprint arXiv:2303.00058, 2023 | 2 | 2023 |
| Automatic Infectious Disease Classification Analysis with Concept Discovery E Sizikova, J Vendrow, X Cao, R Grotheer, J Haddock, L Kassab, ... arXiv preprint arXiv:2209.02415, 2022 | 2 | 2022 |
Deanna NeedellProfessor of Mathematics, UCLAVerified email at cmc.edu
