Jasper C. H. Lee

Publication Activity (10 Years)

Years Active: 2014-2023
Publications (10 Years): 34

Top Topics

Constraint Programming

Maximum Likelihood

Convex Functions

Top Venues

Publications

Trung Dang, Jasper C. H. Lee, Maoyuan Song, Paul Valiant
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments. CoRR (2023)
Trung Dang, Jasper C. H. Lee, Maoyuan Raymond Song, Paul Valiant
Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments. NeurIPS (2023)
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints. CPAIOR (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. ICML (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price
Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. CoRR (2023)
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints. AAAI (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. CoRR (2023)
Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. CoRR (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
Minimax-Optimal Location Estimation. NeurIPS (2023)
Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas
A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. NeurIPS (2023)
Shivam Gupta, Jasper C. H. Lee, Eric Price
Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. COLT (2023)
Xinyi Hu, Jasper C. H. Lee, Jimmy Ho-Man Lee
Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints. NeurIPS (2023)
Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Thanasis Pittas
Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation. CoRR (2023)
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints. CoRR (2023)
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints. CoRR (2023)
Jasper C. H. Lee, Paul Valiant
Optimal Sub-Gaussian Mean Estimation in $\mathbb{R}$. FOCS (2022)
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints. CoRR (2022)
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize. CoRR (2022)
Jasper C. H. Lee, Paul Valiant
Optimal Sub-Gaussian Mean Estimation in Very High Dimensions. ITCS (2022)
Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
Finite-Sample Maximum Likelihood Estimation of Location. CoRR (2022)
Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. CoRR (2022)
Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
Finite-Sample Maximum Likelihood Estimation of Location. NeurIPS (2022)
Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. NeurIPS (2022)
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize. NeurIPS (2022)
Jasper C. H. Lee, Paul Valiant
Optimal Sub-Gaussian Mean Estimation in $\mathbb{R}$. FOCS (2021)
Jasper C. H. Lee, Paul Valiant
Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins. SODA (2021)
Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai
Finding an Approximate Mode of a Kernel Density Estimate. ESA (2021)
Uthsav Chitra, Kimberly Ding, Jasper C. H. Lee, Benjamin J. Raphael
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies. ICML (2021)
Jasper C. H. Lee, Paul Valiant
Optimal Sub-Gaussian Mean Estimation in R. CoRR (2020)
Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai
Finding the Mode of a Kernel Density Estimate. CoRR (2019)
Jasper C. H. Lee, Paul Valiant
Uncertainty about Uncertainty: Near-Optimal Adaptive Algorithms for Estimating Binary Mixtures of Unknown Coins. CoRR (2019)
Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
Augmenting Stream Constraint Programming with Eventuality Conditions. CP (2018)
Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
Augmenting Stream Constraint Programming with Eventuality Conditions. CoRR (2018)
Jasper C. H. Lee, Paul Valiant
Optimizing Star-Convex Functions. FOCS (2016)
Jasper C. H. Lee, Paul Valiant
Beyond Convex Optimization: Star-Convex Functions. CoRR (2015)
Jasper C. H. Lee, Jimmy H. M. Lee
Towards Practical Infinite Stream Constraint Programming: Applications and Implementation. CP (2014)