Kaiyi Ji

发表

SpiderBoost: A Class of Faster Variance-reduced Algorithms for Nonconvex Optimization pdf

Yi Zhou, Yingbin Liang, Vahid Tarokh, 2018, ArXiv.

L G ] 1 5 O ct 2 01 8 When Will Gradient Methods Converge to Max-margin Classifier under ReLUModels ?

Yi Zhou, Yingbin Liang, Tengyu Xu, 2018 .

A Primal-Dual Approach to Bilevel Optimization with Multiple Inner Minima

Yingbin Liang, Kaiyi Ji, Daouda Sow, 2022, 2203.01123.

Will Bilevel Optimizers Benefit from Loops

Mingrui Liu, Yingbin Liang, Kaiyi Ji, 2022, NeurIPS.

On the Convergence Theory for Hessian-Free Bilevel Algorithms

Yingbin Liang, Kaiyi Ji, Daouda Sow, 2021, NeurIPS.

Provably Faster Algorithms for Bilevel Optimization pdf

Kaiyi Ji, Yingbin Liang, Junjie Yang, 2021, NeurIPS.

Lower Bounds and Accelerated Algorithms for Bilevel Optimization

Yingbin Liang, Kaiyi Ji, 2021, J. Mach. Learn. Res..

Bilevel Optimization: Convergence Analysis and Enhanced Design

Kaiyi Ji, Yingbin Liang, Junjie Yang, 2020, ICML.

Bilevel Optimization: Nonasymptotic Analysis and Faster Algorithms.

Yingbin Liang, Kaiyi Ji, Junjie Yang, 2020 .

Minimax Estimation of Neural Net Distance

Yingbin Liang, Kaiyi Ji, Yingbin Liang, 2018, NeurIPS.

LRU Caching with Dependent Competing Requests

Guocong Quan, Kaiyi Ji, Jian Tan, 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.

Asymptotic Miss Ratio of LRU Caching with Consistent Hashing

Guocong Quan, Kaiyi Ji, Jian Tan, 2018, IEEE INFOCOM 2018 - IEEE Conference on Computer Communications.

On Resource Pooling and Separation for LRU Caching

Ness B. Shroff, Guocong Quan, Kaiyi Ji, 2017, Proc. ACM Meas. Anal. Comput. Syst..

Provably Faster Algorithms for Bilevel Optimization and Applications to Meta-Learning pdf

Junjie Yang, Yingbin Liang, Kaiyi Ji, 2020, ArXiv.

SpiderBoost and Momentum: Faster Variance Reduction Algorithms

Yingbin Liang, Yi Zhou, Vahid Tarokh, 2019, NeurIPS.

Achieving Linear Speedup in Non-IID Federated Bilevel Learning

Kaiyi Ji, Minhui Huang, Dewei Zhang, 2023, ICML.

Efficiently Escaping Saddle Points in Bilevel Optimization

Shiqian Ma, Kaiyi Ji, Minhui Huang, 2022, ArXiv.

Convergence of Meta-Learning with Task-Specific Adaptation over Partial Parameters

J. Lee, H. Poor, Yingbin Liang, 2020, NeurIPS.

Multi-Step Model-Agnostic Meta-Learning: Convergence and Improved Algorithms

Yingbin Liang, Kaiyi Ji, Junjie Yang, 2020, ArXiv.

A Constrained Optimization Approach to Bilevel Optimization with Multiple Inner Minima

Yingbin Liang, Kaiyi Ji, Daouda Sow, 2022, ArXiv.

Theoretical Convergence of Multi-Step Model-Agnostic Meta-Learning

Yingbin Liang, Kaiyi Ji, Junjie Yang, 2020, J. Mach. Learn. Res..

Improved Zeroth-Order Variance Reduced Algorithms and Analysis for Nonconvex Optimization pdf

Yi Zhou, Yingbin Liang, Zhe Wang, 2019, ICML.

A new one-point residual-feedback oracle for black-box learning and control

Michael M. Zavlanos, Kaiyi Ji, Yan Zhang, 2020, Autom..

Improving the Convergence Rate of One-Point Zeroth-Order Optimization using Residual Feedback pdf

Yan Zhang, Yi Zhou, Michael M. Zavlanos, 2020, ArXiv.

SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning

Kaiyi Ji, Peiyao Xiao, Yifan Yang, 2023, ArXiv.

Communication-Efficient Federated Hypergradient Computation via Aggregated Iterative Differentiation

Kaiyi Ji, Peiyao Xiao, 2023, ICML.

Learning Latent Features With Pairwise Penalties in Low-Rank Matrix Completion

Jinfeng Xu, Yuejie Chi, Kaiyi Ji, 2020, IEEE Transactions on Signal Processing.

Learning Latent Features with Pairwise Penalties in Low-Rank Matrix Completion

Yuejie Chi, Jinfeng Xu, Kaiyi Ji, 2018, 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM).

Learning Latent Features with Pairwise Penalties in Matrix Completion pdf

Yuejie Chi, Kaiyi Ji, Jinfeng Xu, 2018, ArXiv.

Data Sampling Affects the Complexity of Online SGD over Dependent Data

Shaocong Ma, Yingbin Liang, Kaiyi Ji, 2022, UAI.

Bilevel Optimization for Machine Learning: Algorithm Design and Convergence Analysis pdf

Kaiyi Ji, Kaiyi Ji, 2021, ArXiv.

Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization

V. Tarokh, Yi Zhou, Yingbin Liang, 2020, IJCAI.

Network Utility Maximization with Unknown Utility Functions: A Distributed, Data-Driven Bilevel Optimization Approach

Kaiyi Ji, Lei Ying, 2023, arXiv.org.

SimFBO: Towards Simple, Flexible and Communication-efficient Federated Bilevel Learning

Kaiyi Ji, Peiyao Xiao, Yifan Yang, 2023, ArXiv.

Non-Convex Bilevel Optimization with Time-Varying Objective Functions

N. Shroff, Yitao Liang, Kaiyi Ji, 2023, NeurIPS.

A Novel Hessian-Free Bilevel Optimizer via Evolution Strategies

Yingbin Liang, Kaiyi Ji, Daouda Sow, 2022 .

ES-Based Jacobian Enables Faster Bilevel Optimization pdf

Kaiyi Ji, Yingbin Liang, Daouda Sow, 2021, ArXiv.

Convergence of SGD in Learning ReLU Models with Separable Data pdf

Yi Zhou, Yingbin Liang, Kaiyi Ji, 2018, ArXiv.

History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms

Yi Zhou, W. Zhang, Yingbin Liang, 2019, ICML.

Direction-oriented Multi-objective Learning: Simple and Provable Stochastic Algorithms

Kaiyi Ji, Peiyao Xiao, Hao Ban, 2023, NeurIPS.