Works in submission:
How do simple rotations affect the implicit bias of Adam?, arXiv preprint 2025
with Rebecca Willett and Vasileios Charisopoulos
Faster Adaptive Optimization via Expected Gradient Outer Product Reparameterization, arXiv preprint 2025
with Rebecca Willett and Vasileios Charisopoulos
Watch my talk on this project, given at the IFDS Workshop 2025 on "Theoretical Foundations of Applied AI"
Peer-reviewed publications:
Causal Discovery Over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning, Transactions on Machine Learning Research 2025*
with Ashka Shah, Nathaniel Hudson, Ian Foster, and Rick Stevens
*🏅 Best paper at ICML 2024 AI for Science Discovery Workshop
Optimal Algorithms for Learning Partitions with Faulty Oracles, NeurIPS 2024
with Erasmo Tani and Olga Medrano Martin del Campo
Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning, ICML 2024
with Konstantinos Ameranis, Erasmo Tani, and Lorenzo Orecchia
Learning-based Algorithms for Graph Searching Problems, AISTATS 2024**
with Erasmo Tani and Ali Vakilian
**🏅 AISTATS Outstanding Student Paper Highlight
Hypergraph Diffusions and Resolvents for Norm-Based Hypergraph Laplacians, arXiv preprint 2023
with Konstantinos Ameranis, Antares Chen, Erasmo Tani, and Lorenzo Orecchia
Spectral Clustering Revisited: Information Hidden in the Fiedler Vector, Foundations of Data Science 2021
with Stefan Steinerberger