@inproceedings{Di2026OperatorSplitting,title={Operator Splitting with Hamilton-Jacobi-based Proximals},author={Di, Nicholas and Chi, Eric C. and Wu Fung, Samy},booktitle={43rd International Conference on Machine Learning},year={2026},url={https://arxiv.org/abs/2601.22370},doi={10.48550/arXiv.2601.22370}}
NeurIPS: EvoRobust
Surfacing Jagged Intelligence via Agentic Search for Weak-Model Wins
Nicholas Di, Brian R. Bartoldson, Chloe Georgiou, Hongjun Choi, Jaywon Koo, Christine Klymko, Shusen Liu, Bhavya Kailkhura, and Ruben Glatt
In NeurIPS Self-Evolving Diversity-Driven Search for Robust AI Systems , 2026
@inproceedings{Di2026JaggedIntelligence,title={Surfacing Jagged Intelligence via Agentic Search for Weak-Model Wins},author={Di, Nicholas and Bartoldson, Brian R. and Georgiou, Chloe and Choi, Hongjun and Koo, Jaywon and Klymko, Christine and Liu, Shusen and Kailkhura, Bhavya and Glatt, Ruben},booktitle={NeurIPS Self-Evolving Diversity-Driven Search for Robust AI Systems},year={2026}}
2025
AJHG
The Causal Pivot: A structural approach to genetic heterogeneity and variant discovery in complex diseases
Chad A. Shaw, Christopher J. Williams, Taotao Tan, Daniel Illera, Nicholas Di, Joshua M. Shulman, and John W. Belmont
@article{Shaw2025CausalPivot,title={The Causal Pivot: A structural approach to genetic heterogeneity and variant discovery in complex diseases},author={Shaw, Chad A. and Williams, Christopher J. and Tan, Taotao and Illera, Daniel and Di, Nicholas and Shulman, Joshua M. and Belmont, John W.},journal={American Journal of Human Genetics},year={2025},url={https://www.cell.com/ajhg/fulltext/S0002-9297(25)00282-4}}
NeurIPS: OPT
A Monte Carlo Approach for Nonsmooth Convex Optimization via Proximal Splitting Algorithms
Nicholas Di, Eric C. Chi, and Samy Wu Fung
NeurIPS Optimization for Machine learning Workshop, 2025
@article{Di2025MonteCarlo,title={A Monte Carlo Approach for Nonsmooth Convex Optimization via Proximal Splitting Algorithms},author={Di, Nicholas and Chi, Eric C. and Wu Fung, Samy},journal={NeurIPS Optimization for Machine learning Workshop},volume={arXiv:2509.07914},year={2025},url={https://arxiv.org/abs/2509.07914},doi={10.48550/arXiv.2509.07914}}
@article{Di2023LaborMarkets,title={Gendered labor market outcomes during COVID-19: Evidence from early withdrawal of Federal Pandemic Unemployment Compensation},author={Di, Nicholas},journal={The Developing Economist},volume={8},year={2023},publisher={University of Texas, Austin}}