Yingcong Li

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 22

Top Topics

Bayesian Approaches

Attention Mechanism

Top Venues

Publications

Muhammed Emrullah Ildiz, Yixiao Huang, Yingcong Li, Ankit Singh Rawat, Samet Oymak
From Self-Attention to Markov Models: Unveiling the Dynamics of Generative Transformers. CoRR (2024)
Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak
Mechanics of Next Token Prediction with Self-Attention. CoRR (2024)
Yingcong Li, Yixiao Huang, Muhammed Emrullah Ildiz, Ankit Singh Rawat, Samet Oymak
Mechanics of Next Token Prediction with Self-Attention. AISTATS (2024)
Yingcong Li, Ankit Singh Rawat, Samet Oymak
Fine-grained Analysis of In-context Linear Estimation: Data, Architecture, and Beyond. CoRR (2024)
Yingcong Li, Samet Oymak
On The Fairness of Multitask Representation Learning. ICASSP (2023)
Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
Max-Margin Token Selection in Attention Mechanism. CoRR (2023)
Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris Papailiopoulos, Samet Oymak
Dissecting Chain-of-Thought: Compositionality through In-Context Filtering and Learning. NeurIPS (2023)
Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
Stochastic Contextual Bandits with Long Horizon Rewards. CoRR (2023)
Yingcong Li, Samet Oymak
Provable Pathways: Learning Multiple Tasks over Multiple Paths. CoRR (2023)
Davoud Ataee Tarzanagh, Yingcong Li, Christos Thrampoulidis, Samet Oymak
Transformers as Support Vector Machines. CoRR (2023)
Yuzhen Qin, Yingcong Li, Fabio Pasqualetti, Maryam Fazel, Samet Oymak
Stochastic Contextual Bandits with Long Horizon Rewards. AAAI (2023)
Yingcong Li, M. Emrullah Ildiz, Dimitris S. Papailiopoulos, Samet Oymak
Transformers as Algorithms: Generalization and Implicit Model Selection in In-context Learning. CoRR (2023)
Yingcong Li, Samet Oymak
Provable Pathways: Learning Multiple Tasks over Multiple Paths. AAAI (2023)
Yingcong Li, Muhammed Emrullah Ildiz, Dimitris Papailiopoulos, Samet Oymak
Transformers as Algorithms: Generalization and Stability in In-context Learning. ICML (2023)
Yingcong Li, Kartik Sreenivasan, Angeliki Giannou, Dimitris S. Papailiopoulos, Samet Oymak
Dissecting Chain-of-Thought: A Study on Compositional In-Context Learning of MLPs. CoRR (2023)
Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
Max-Margin Token Selection in Attention Mechanism. NeurIPS (2023)
Yingcong Li, Mingchen Li, M. Salman Asif, Samet Oymak
Provable and Efficient Continual Representation Learning. CoRR (2022)
Yingcong Li, Chandra Sekhar Mukherjee, Jiapeng Zhang
Confident Clustering via PCA Compression Ratio and Its Application to Single-cell RNA-seq Analysis. CoRR (2022)
Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. AAAI (2021)
Xiangyu Chang, Yingcong Li, Samet Oymak, Christos Thrampoulidis
Provable Benefits of Overparameterization in Model Compression: From Double Descent to Pruning Neural Networks. CoRR (2020)
Zuqing Zhu, Bin Niu, Jiawei Kong, Shaofei Tang, Yingcong Li, Hongqiang Fang, Wei Lu
Leveraging Multilayer Telemetry to Realize AI-assisted Service Provisioning in IP over Elastic Optical Networks: (Invited Paper). OECC/PSC (2019)
Bin Niu, Jiawei Kong, Shaofei Tang, Yingcong Li, Zuqing Zhu
Visualize Your IP-Over-Optical Network in Realtime: A P4-Based Flexible Multilayer In-Band Network Telemetry (ML-INT) System. IEEE Access 7 (2019)