Yingcong Li

According to our database1, Yingcong Li authored at least 17 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2024
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond.
CoRR, 2024

From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Mechanics of Next Token Prediction with Self-Attention.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023
Transformers as Support Vector Machines.
CoRR, 2023

Dissecting Chain-of-Thought: A Study on Compositional In-Context Learning of MLPs.
CoRR, 2023

Transformers as Algorithms: Generalization and Implicit Model Selection in In-context Learning.
CoRR, 2023

Max-Margin Token Selection in Attention Mechanism.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

On The Fairness of Multitask Representation Learning.
Proceedings of the IEEE International Conference on Acoustics, 2023

Stochastic Contextual Bandits with Long Horizon Rewards.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Provable Pathways: Learning Multiple Tasks over Multiple Paths.
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.
CoRR, 2022

Provable and Efficient Continual Representation Learning.
CoRR, 2022

2021
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks.
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.
IEEE Access, 2019

Leveraging Multilayer Telemetry to Realize AI-assisted Service Provisioning in IP over Elastic Optical Networks: (Invited Paper).
Proceedings of the 2019 24th OptoElectronics and Communications Conference (OECC) and 2019 International Conference on Photonics in Switching and Computing (PSC), 2019


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