David X. Wu

According to our database, David X. Wu authored at least 6 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Provable Weak-to-Strong Generalization via Benign Overfitting.

David X. Wu, Anant Sahai

CoRR, 2024

Robust Recovery for Stochastic Block Models, Simplified and Generalized.

Sidhanth Mohanty, Prasad Raghavendra, David X. Wu

Proceedings of the 56th Annual ACM Symposium on Theory of Computing, 2024

Fast Mixing in Sparse Random Ising Models.

Kuikui Liu, Sidhanth Mohanty, Amit Rajaraman, David X. Wu

Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

Locally Stationary Distributions: A Framework for Analyzing Slow-Mixing Markov Chains.

Kuikui Liu, Sidhanth Mohanty, Prasad Raghavendra, Amit Rajaraman, David X. Wu

Proceedings of the 65th IEEE Annual Symposium on Foundations of Computer Science, 2024

2023

Precise asymptotic generalization for multiclass classification with overparameterized linear models.

David X. Wu, Anant Sahai

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Lower Bounds for Multiclass Classification with Overparameterized Linear Models.

David X. Wu, Anant Sahai

Proceedings of the IEEE International Symposium on Information Theory, 2023