Fast, Parallel, Query-Efficient Binary Classification
Conference on Learning Theory (COLT), 2026
Publications
Please note that in my field, authors are always ordered alphabetically by last name.
Active Learning for Stochastic Contextual Linear Bandits
Artificial Intelligence and Statistics (AISTATS) | NeurIPS Workshop on Aligning Reinforcement Learning Experimentalists and Theorists | Oral at Stanford Causal Science Conference, 2026
Solving Matrix Games with Near-Optimal Matvec Complexity
Symposium on the Theory of Computing (STOC), 2026
Reusing Samples in Variance-Reduction
Algorithmic Learning Theory (ALT) Elegant Paper Award, 2026
Overcoming Information Bottlenecks in Directed Graph Neural Networks through Rewiring
Learning on Graphs Conference (LoG), 2025
Accelerating data-driven algorithm selection for combinatorial partitioning problems
Neural Information Processing Systems (NeurIPS) Spotlight (top 3% of all submissions), 2025
Mean-Field Sampling for Cooperative Multi-Agent Reinforcement Learning
Neural Information Processing Systems (NeurIPS) Spotlight (top 3% of all submissions) | Best Paper at AAAI Workshop on Multi-Agents in the Real World, 2025
Solving Zero-Sum Games with Fewer Matrix-Vector Products
Foundations of Computer Science (FOCS), 2025
Truncated Variance-Reduced Value Iteration
Neural Information Processing Systems (NeurIPS) | Oral presentation at COLT Workshop on Reinforcement Learning, 2024
Faster Spectral Density Estimation and Sparsification in the Nuclear Norm
Conference on Learning Theory (COLT) , 2024
Towards Optimal Effective Resistance Estimation
Neural Information Processing Systems (NeurIPS), 2023
Real-bogus classification for the Zwicky Transient Facility using deep learning
Royal Astronomical Society, 2019