Jasper C. H. Lee

According to our database, Jasper C. H. Lee authored at least 26 papers between 2014 and 2023.

Collaborative distances:

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

2023

Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation.

Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Thanasis Pittas

CoRR, 2023

Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints.

Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee

CoRR, 2023

Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints.

Xinyi Hu, Jasper C. H. Lee, Jimmy Ho-Man Lee

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

Minimax-Optimal Location Estimation.

Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant

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

A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm.

Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas

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

Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments.

Trung Dang, Jasper C. H. Lee, Maoyuan Raymond Song, Paul Valiant

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

High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors.

Shivam Gupta, Jasper C. H. Lee, Eric Price

Proceedings of the International Conference on Machine Learning, 2023

Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints.

Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee

Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

Finite-Sample Symmetric Mean Estimation with Fisher Information Rate.

Shivam Gupta, Jasper C. H. Lee, Eric Price

Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints.

Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize.

Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions.

Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Finite-Sample Maximum Likelihood Estimation of Location.

Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Optimal Sub-Gaussian Mean Estimation in Very High Dimensions.

Jasper C. H. Lee, Paul Valiant

Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021

Classic and Modern Challenges in Statistical Estimation.

Jasper C. H. Lee

PhD thesis, 2021

Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins.

Jasper C. H. Lee, Paul Valiant

Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies.

Uthsav Chitra, Kimberly Ding, Jasper C. H. Lee, Benjamin J. Raphael

Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Sub-Gaussian Mean Estimation in $\mathbb{R}$.

Jasper C. H. Lee, Paul Valiant

Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

Finding an Approximate Mode of a Kernel Density Estimate.

Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai

Proceedings of the 29th Annual European Symposium on Algorithms, 2021

2020

Optimal Sub-Gaussian Mean Estimation in R.

Jasper C. H. Lee, Paul Valiant

CoRR, 2020

2019

Finding the Mode of a Kernel Density Estimate.

Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai

CoRR, 2019

Uncertainty about Uncertainty: Near-Optimal Adaptive Algorithms for Estimating Binary Mixtures of Unknown Coins.

Jasper C. H. Lee, Paul Valiant

CoRR, 2019

2018

Augmenting Stream Constraint Programming with Eventuality Conditions.

Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong

Proceedings of the Principles and Practice of Constraint Programming, 2018

2016

Optimizing Star-Convex Functions.

Jasper C. H. Lee, Paul Valiant

Proceedings of the IEEE 57th Annual Symposium on Foundations of Computer Science, 2016

2015

Beyond Convex Optimization: Star-Convex Functions.

Jasper C. H. Lee, Paul Valiant

CoRR, 2015

2014

Towards Practical Infinite Stream Constraint Programming: Applications and Implementation.

Jasper C. H. Lee, Jimmy H. M. Lee

Proceedings of the Principles and Practice of Constraint Programming, 2014