Reasoning and Planning with Large Language Models in Code Development.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
Variance-reduced Zeroth-Order Methods for Fine-Tuning Language Models.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms.
CoRR, 2023
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning.
CoRR, 2023
Statistical guarantees for local graph clustering.
J. Mach. Learn. Res., 2021
Adaptive wavelet distillation from neural networks through interpretations.
CoRR, 2021
Adaptive wavelet distillation from neural networks through interpretations.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
An Equivalence between Critical Points for Rank Constraints Versus Low-Rank Factorizations.
SIAM J. Optim., 2020
Transformation Importance with Applications to Cosmology.
CoRR, 2020
Interpreting and Improving Deep-Learning Models with Reality Checks.
Proceedings of the xxAI - Beyond Explainable AI, 2020
Robust PCA with compressed data.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015