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Lampros Flokas
Lampros Flokas
PhD Student, Columbia University
Verified email at cs.columbia.edu
Title
Cited by
Cited by
Year
Principled weight initialization for hypernetworks
O Chang, L Flokas, H Lipson
International Conference on Learning Representations, 2019
72*2019
Poincaré recurrence, cycles and spurious equilibria in gradient-descent-ascent for non-convex non-concave zero-sum games
EV Vlatakis-Gkaragkounis, L Flokas, G Piliouras
Advances in Neural Information Processing Systems 32, 2019
632019
Complaint-driven training data debugging for query 2.0
W Wu, L Flokas, E Wu, J Wang
Proceedings of the 2020 ACM SIGMOD International Conference on Management of …, 2020
412020
No-regret learning and mixed Nash equilibria: They do not mix
L Flokas, EV Vlatakis-Gkaragkounis, T Lianeas, P Mertikopoulos, ...
arXiv preprint arXiv:2010.09514, 2020
362020
No-regret learning and mixed nash equilibria: They do not mix
EV Vlatakis-Gkaragkounis, L Flokas, T Lianeas, P Mertikopoulos, ...
Advances in Neural Information Processing Systems 33, 1380-1391, 2020
352020
Efficiently avoiding saddle points with zero order methods: No gradients required
EV Vlatakis-Gkaragkounis, L Flokas, G Piliouras
Advances in Neural Information Processing Systems 32, 2019
272019
Assessing SATNet's ability to solve the symbol grounding problem
O Chang, L Flokas, H Lipson, M Spranger
Advances in Neural Information Processing Systems 33, 1428-1439, 2020
192020
Hunter nmt system for wmt18 biomedical translation task: Transfer learning in neural machine translation
A Khan, S Panda, J Xu, L Flokas
Proceedings of the Third Conference on Machine Translation: Shared Task …, 2018
162018
Solving min-max optimization with hidden structure via gradient descent ascent
EV Vlatakis-Gkaragkounis, L Flokas, G Piliouras
Advances in Neural Information Processing Systems 34, 2373-2386, 2021
122021
Enabling SQL-based Training Data Debugging for Federated Learning
Y Liu, W Wu, L Flokas, J Wang, E Wu
arXiv preprint arXiv:2108.11884, 2021
112021
Online wideband spectrum sensing using sparsity
L Flokas, P Maragos
IEEE Journal of Selected Topics in Signal Processing 12 (1), 35-44, 2018
92018
ConnectorX: accelerating data loading from databases to dataframes
X Wang, W Wu, J Wu, Y Chen, N Zrymiak, C Qu, L Flokas, G Chow, ...
Proceedings of the VLDB Endowment 15 (11), 2994-3003, 2022
72022
Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent
L Flokas, EV Vlatakis-Gkaragkounis, G Piliouras
arXiv preprint arXiv:2101.05248, 2021
72021
Efficiently avoiding saddle points with zero order methods: No gradients required
L Flokas, EV Vlatakis-Gkaragkounis, G Piliouras
arXiv preprint arXiv:1910.13021, 2019
72019
Complaint-Driven Training Data Debugging at Interactive Speeds
L Flokas, W Wu, Y Liu, J Wang, N Verma, E Wu
Proceedings of the 2022 International Conference on Management of Data, 369-383, 2022
52022
How I stopped worrying about training data bugs and started complaining
L Flokas, W Wu, J Wang, N Verma, E Wu
Proceedings of the Sixth Workshop on Data Management for End-To-End Machine …, 2022
2022
Hard Threshold Least Mean Squares Algorithm
L Flokas, P Maragos
arXiv preprint arXiv:1608.01128, 2016
2016
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