#  ICLR 2026 Presentations from our group 

 





April 16, 2026

 

 

Check our group's work paper at ICLR!

1 . **Theory of Scaling Laws for In-Context Regression: Depth, Width, Context and Time**

Blake Bordelon ⋅ Mary Letey ⋅ Cengiz Pehlevan

2\. **Discovering alternative solutions beyond the simplicity bias in recurrent neural networks**

William Qian ⋅ Cengiz Pehlevan

3\. **Pretrain–Test Task Alignment Governs Generalization in In-Context Learning**

Mary Letey ⋅ Jacob Zavatone-Veth ⋅ Yue Lu ⋅ Cengiz Pehlevan

4\. **Seesaw: Accelerating Training by Balancing Batch Size and Learning Rate Scheduling**

Alexandru Meterez ⋅ Depen Morwani ⋅ Jingfeng Wu ⋅ Costin-Andrei Oncescu ⋅ Cengiz Pehlevan ⋅ Sham Kakade

5\. **Transfer Learning in Infinite Width Feature Learning Networks**

Clarissa Lauditi ⋅ Blake Bordelon ⋅ Cengiz Pehlevan



 

 

 



 

 

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