Lingjiao Chen

According to our database1, Lingjiao Chen authored at least 32 papers between 2013 and 2023.

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Bibliography

2023
Data Acquisition: A New Frontier in Data-centric AI.
CoRR, 2023

How is ChatGPT's behavior changing over time?
CoRR, 2023

FrugalGPT: How to Use Large Language Models While Reducing Cost and Improving Performance.
CoRR, 2023


HAPI Explorer: Comprehension, Discovery, and Explanation on History of ML APIs.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
SEAL : Interactive Tool for Systematic Error Analysis and Labeling.
CoRR, 2022

Estimating and Explaining Model Performance When Both Covariates and Labels Shift.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

HAPI: A Large-scale Longitudinal Dataset of Commercial ML API Predictions.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Efficient Online ML API Selection for Multi-Label Classification Tasks.
Proceedings of the International Conference on Machine Learning, 2022

How Did the Model Change? Efficiently Assessing Machine Learning API Shifts.
Proceedings of the Tenth International Conference on Learning Representations, 2022

SEAL: Interactive Tool for Systematic Error Analysis and Labeling.
Proceedings of the The 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021
Solon: Communication-efficient Byzantine-resilient Distributed Training via Redundant Gradients.
CoRR, 2021

Did the Model Change? Efficiently Assessing Machine Learning API Shifts.
CoRR, 2021

FrugalMCT: Efficient Online ML API Selection for Multi-Label Classification Tasks.
CoRR, 2021

2020
FrugalML: How to use ML Prediction APIs more accurately and cheaply.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019
Tuple-oriented Compression for Large-scale Mini-batch Stochastic Gradient Descent.
Proceedings of the 2019 International Conference on Management of Data, 2019

Enabling and Optimizing Non-linear Feature Interactions in Factorized Linear Algebra.
Proceedings of the 2019 International Conference on Management of Data, 2019

Demonstration of Nimbus: Model-based Pricing for Machine Learning in a Data Marketplace.
Proceedings of the 2019 International Conference on Management of Data, 2019

Towards Model-based Pricing for Machine Learning in a Data Marketplace.
Proceedings of the 2019 International Conference on Management of Data, 2019

2018
Model-based Pricing for Machine Learning in a Data Marketplace.
CoRR, 2018

DRACO: Robust Distributed Training via Redundant Gradients.
CoRR, 2018

A trust-based recommendation method using network diffusion processes.
CoRR, 2018

The Effect of Network Width on the Performance of Large-batch Training.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

DRACO: Byzantine-resilient Distributed Training via Redundant Gradients.
Proceedings of the 35th International Conference on Machine Learning, 2018

Reinforcing Adversarial Robustness using Model Confidence Induced by Adversarial Training.
Proceedings of the 35th International Conference on Machine Learning, 2018

2017
Towards Linear Algebra over Normalized Data.
Proc. VLDB Endow., 2017

Manifold Assumption and Defenses Against Adversarial Perturbations.
CoRR, 2017

When Lempel-Ziv-Welch Meets Machine Learning: A Case Study of Accelerating Machine Learning using Coding.
CoRR, 2017

Model-based Pricing: Do Not Pay for More than What You Learn!
Proceedings of the 1st Workshop on Data Management for End-to-End Machine Learning, 2017

2015
A novel similarity index for better personalized recommendation.
CoRR, 2015

2014
A Novel Public Key Encryption Scheme for Large Image.
Proceedings of the 13th IEEE International Conference on Trust, 2014

2013
Gravity Effects on Information Filtering and Network Evolving.
CoRR, 2013


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