Yingcong Li

According to our database, Yingcong Li authored at least 17 papers between 2019 and 2024.

Collaborative distances:

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

2024

Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond.

Yingcong Li, Ankit Singh Rawat, Samet Oymak

CoRR, 2024

From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers.

Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mechanics of Next Token Prediction with Self-Attention.

Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Transformers as Support Vector Machines.

Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak

CoRR, 2023

Dissecting Chain-of-Thought: A Study on Compositional In-Context Learning of MLPs.

Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris S. Papailiopoulos, Samet Oymak

CoRR, 2023

Transformers as Algorithms: Generalization and Implicit Model Selection in In-context Learning.

Yingcong Li, Muhammed Emrullah Ildiz, Dimitris S. Papailiopoulos, Samet Oymak

CoRR, 2023

Max-Margin Token Selection in Attention Mechanism.

Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning.

Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Transformers as Algorithms: Generalization and Stability in In-context Learning.

Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak

Proceedings of the International Conference on Machine Learning, 2023

On The Fairness of Multitask Representation Learning.

Yingcong Li, Samet Oymak

Proceedings of the IEEE International Conference on Acoustics, 2023

Stochastic Contextual Bandits with Long Horizon Rewards.

Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Provable Pathways: Learning Multiple Tasks over Multiple Paths.

Yingcong Li, Samet Oymak

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Confident Clustering via PCA Compression Ratio and Its Application to Single-cell RNA-seq Analysis.

Yingcong Li, Chandra Sekhar Mukherjee, Jiapeng Zhang

CoRR, 2022

Provable and Efficient Continual Representation Learning.

Yingcong Li, Mingchen Li, M. Salman Asif, Samet Oymak

CoRR, 2022

2021

Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks.

Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2019

Visualize Your IP-Over-Optical Network in Realtime: A P4-Based Flexible Multilayer In-Band Network Telemetry (ML-INT) System.

Bin Niu, Jiawei Kong, Shaofei Tang, Yingcong Li, Zuqing Zhu

IEEE Access, 2019

Leveraging Multilayer Telemetry to Realize AI-assisted Service Provisioning in IP over Elastic Optical Networks: (Invited Paper).

Zuqing Zhu, Bin Niu, Jiawei Kong, Shaofei Tang, Yingcong Li, Hongqiang Fang, Wei Lu

Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019