Lampros Flokas

According to our database, Lampros Flokas authored at least 17 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Accelerating Deletion Interventions on OLAP Workload.

Haneen Mohammed, Alexander Yao, Lampros Flokas, Hongbin Zhong, Charlie Summers, Eugene Wu

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

2023

Complaint Driven Training Data Debugging for Machine Learning Workflows

Lampros Flokas

PhD thesis, 2023

Chaos persists in large-scale multi-agent learning despite adaptive learning rates.

Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras

CoRR, 2023

2022

ConnectorX: Accelerating Data Loading From Databases to Dataframes.

Xiaoying Wang, Weiyuan Wu, Jinze Wu, Yizhou Chen, Nick Zrymiak, Changbo Qu, Lampros Flokas, George Chow, Jiannan Wang, Tianzheng Wang, Eugene Wu, Qingqing Zhou

Proc. VLDB Endow., 2022

Complaint-Driven Training Data Debugging at Interactive Speeds.

Lampros Flokas, Weiyuan Wu, Yejia Liu, Jiannan Wang, Nakul Verma, Eugene Wu

Proceedings of the SIGMOD '22: International Conference on Management of Data, Philadelphia, PA, USA, June 12, 2022

How I stopped worrying about training data bugs and started complaining.

Lampros Flokas, Weiyuan Wu, Jiannan Wang, Nakul Verma, Eugene Wu

Proceedings of the DEEM '22: Proceedings of the Sixth Workshop on Data Management for End-To-End Machine Learning Philadelphia, 2022

2021

Enabling SQL-based Training Data Debugging for Federated Learning.

Yejia Liu, Weiyuan Wu, Lampros Flokas, Jiannan Wang, Eugene Wu

Proc. VLDB Endow., 2021

Solving Min-Max Optimization with Hidden Structure via Gradient Descent Ascent.

Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Complaint-driven Training Data Debugging for Query 2.0.

Weiyuan Wu, Lampros Flokas, Eugene Wu, Jiannan Wang

Proceedings of the 2020 International Conference on Management of Data, 2020

No-Regret Learning and Mixed Nash Equilibria: They Do Not Mix.

Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Thanasis Lianeas, Panayotis Mertikopoulos, Georgios Piliouras

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Assessing SATNet's Ability to Solve the Symbol Grounding Problem.

Oscar Chang, Lampros Flokas, Hod Lipson, Michael Spranger

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Principled Weight Initialization for Hypernetworks.

Oscar Chang, Lampros Flokas, Hod Lipson

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Poincaré Recurrence, Cycles and Spurious Equilibria in Gradient-Descent-Ascent for Non-Convex Non-Concave Zero-Sum Games.

Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Efficiently avoiding saddle points with zero order methods: No gradients required.

Emmanouil V. Vlatakis-Gkaragkounis, Lampros Flokas, Georgios Piliouras

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Online Wideband Spectrum Sensing Using Sparsity.

Lampros Flokas, Petros Maragos

IEEE J. Sel. Top. Signal Process., 2018

Hunter NMT System for WMT18 Biomedical Translation Task: Transfer Learning in Neural Machine Translation.

Abdul Rafae Khan, Subhadarshi Panda, Jia Xu, Lampros Flokas

Proceedings of the Third Conference on Machine Translation: Shared Task Papers, 2018

2016

Hard Threshold Least Mean Squares Algorithm.

Lampros Flokas, Petros Maragos

CoRR, 2016