Xin Yang

Affiliations:
  • ByteDance, Seattle, WA, USA
  • University of Washington, Seattle, WA, USA (former)


According to our database1, Xin Yang authored at least 23 papers between 2016 and 2023.

Collaborative distances:

Timeline

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Bibliography

2023
Netflix and Forget: Efficient and Exact Machine Unlearning from Bi-linear Recommendations.
CoRR, 2023

Label Inference Attack against Split Learning under Regression Setting.
CoRR, 2023

DPAUC: Differentially Private AUC Computation in Federated Learning.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Faster Algorithm for Structured John Ellipsoid Computation.
CoRR, 2022

Sketching Meets Differential Privacy: Fast Algorithm for Dynamic Kronecker Projection Maintenance.
CoRR, 2022

Differentially Private AUC Computation in Vertical Federated Learning.
CoRR, 2022

Differentially Private Label Protection in Split Learning.
CoRR, 2022

Label Leakage and Protection from Forward Embedding in Vertical Federated Learning.
CoRR, 2022

Differentially private multi-party data release for linear regression.
Proceedings of the Uncertainty in Artificial Intelligence, 2022

Label Leakage and Protection in Two-party Split Learning.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
Vertical Federated Learning without Revealing Intersection Membership.
CoRR, 2021

FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Convergence Analysis.
CoRR, 2021

FL-NTK: A Neural Tangent Kernel-based Framework for Federated Learning Analysis.
Proceedings of the 38th International Conference on Machine Learning, 2021

2020
Towards Better Understanding of Algorithms and Complexity of Some Learning Problems.
PhD thesis, 2020

On the Bias of Reed-Muller Codes over Odd Prime Fields.
SIAM J. Discret. Math., 2020

Sketching Transformed Matrices with Applications to Natural Language Processing.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019
Quadratic Suffices for Over-parametrization via Matrix Chernoff Bound.
CoRR, 2019

Total Least Squares Regression in Input Sparsity Time.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

A near-optimal algorithm for approximating the John Ellipsoid.
Proceedings of the Conference on Learning Theory, 2019

2018
Time-Space Tradeoffs for Learning Finite Functions from Random Evaluations, with Applications to Polynomials.
Electron. Colloquium Comput. Complex., 2018

2017
Time-Space Tradeoffs for Learning from Small Test Spaces: Learning Low Degree Polynomial Functions.
Electron. Colloquium Comput. Complex., 2017

Number Balancing is as Hard as Minkowski's Theorem and Shortest Vector.
Proceedings of the Integer Programming and Combinatorial Optimization, 2017

2016
Canaries in the Network.
Proceedings of the 15th ACM Workshop on Hot Topics in Networks, 2016


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