Jasper C. H. Lee

According to our database1, Jasper C. H. Lee authored at least 26 papers between 2014 and 2023.

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Bibliography

2023
Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation.
CoRR, 2023

Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints.
CoRR, 2023

Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Minimax-Optimal Location Estimation.
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.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023

Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2023

Finite-Sample Symmetric Mean Estimation with Fisher Information Rate.
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023

Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize.
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.
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.
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.
Proceedings of the 13th Innovations in Theoretical Computer Science Conference, 2022

2021
Classic and Modern Challenges in Statistical Estimation.
PhD thesis, 2021

Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins.
Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms, 2021

Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies.
Proceedings of the 38th International Conference on Machine Learning, 2021

Optimal Sub-Gaussian Mean Estimation in $\mathbb{R}$.
Proceedings of the 62nd IEEE Annual Symposium on Foundations of Computer Science, 2021

Finding an Approximate Mode of a Kernel Density Estimate.
Proceedings of the 29th Annual European Symposium on Algorithms, 2021

2020
Optimal Sub-Gaussian Mean Estimation in R.
CoRR, 2020

2019
Finding the Mode of a Kernel Density Estimate.
CoRR, 2019

Uncertainty about Uncertainty: Near-Optimal Adaptive Algorithms for Estimating Binary Mixtures of Unknown Coins.
CoRR, 2019

2018
Augmenting Stream Constraint Programming with Eventuality Conditions.
Proceedings of the Principles and Practice of Constraint Programming, 2018

2016
Optimizing Star-Convex Functions.
Proceedings of the IEEE 57th Annual Symposium on Foundations of Computer Science, 2016

2015
Beyond Convex Optimization: Star-Convex Functions.
CoRR, 2015

2014
Towards Practical Infinite Stream Constraint Programming: Applications and Implementation.
Proceedings of the Principles and Practice of Constraint Programming, 2014


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