*: indicating equal contribution or alphabetic ordering.

Working paper

• A Kernel-Based View of Language Model Fine-Tuning
  Sadhika Malladi, Alexander Wettig, Dingli Yu, Danqi Chen, Sanjeev Arora.

Publications

• Fast Mixing of Stochastic Gradient Descent with Normalization and Weight Decay
  Zhiyuan Li*, Tianhao Wang*, Dingli Yu*.
  NeurIPS 2022

• New Definitions and Evaluations for Saliency Methods: Staying Intrinsic, Complete and Sound
  Arushi Gupta*, Nikunj Saunshi*, Dingli Yu*, Kaifeng Lyu, Sanjeev Arora.
  NeurIPS 2022 (Oral)

• Harnessing the Power of Infinitely Wide Deep Nets on Small-data Tasks
  Sanjeev Arora*, Simon S. Du*, Zhiyuan Li*, Ruslan Salakhutdinov*, Ruosong Wang*, and Dingli Yu*.
  ICLR 2020 (Spotlight): Proc. 8th International Conference on Learning Representations, 2020.

• Simple and Effective Regularization Methods for Training on Noisily Labeled Data with Generalization Guarantee
  Wei Hu*, Zhiyuan Li*, and Dingli Yu*.
  ICLR 2020: Proc. 8th International Conference on Learning Representations, 2020.

• Characterization of group-strategyproof mechanisms for facility location in strictly convex space
  Pingzhong Tang*, Dingli Yu*, and Shengyu Zhao*.
  EC-20: Proc. 21st ACM Conference on Economics and Computation, 2020.

• Balanced Outcomes in Wage Bargaining
  Pingzhong Tang*, and Dingli Yu*.
  AAMAS-18: Proc. 17th International Conference on Autonomous Agents and MultiAgent Systems, July 2018.

• Fair Rent Division on a Budget.
  Ariel D. Procaccia*, Rodrigo A. Velez*, and Dingli Yu*.
  AAAI-18: Proc. 32nd AAAI Conference on Artificial Intelligence, Feb 2018.

Manuscripts

• Enhanced Convolutional Neural Tangent Kernels
  Zhiyuan Li*, Ruosong Wang*, Dingli Yu*, Simon S. Du, Wei Hu, Ruslan Salakhutdinov, and Sanjeev Arora.

• A Partisan Districting Protocol with Provably Nonpartisan Outcomes.
  Wesley Pegden*, Ariel D. Procaccia*, and Dingli Yu*.
  Press coverage:  The Washington Post (op-ed), Slate, Pittsburgh Post-Gazette, New Scientist, Axios, WDET (radio), Wisconsin Public Radio