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ORCIDJasper C. H. Lee
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2020 – today
- 2025
[c21]Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Thanasis Pittas:
Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation. SODA 2025: 288-322- 2024
- [c20]Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Peter J. Stuckey:
Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs. NeurIPS 2024 - 2023
- [c19]Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee:
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints. AAAI 2023: 3987-3995 - [c18]Shivam Gupta, Jasper C. H. Lee, Eric Price:
Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. COLT 2023: 4777-4830 - [c17]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: 264-280 - [c16]Shivam Gupta, Jasper C. H. Lee, Eric Price:
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. ICML 2023: 12132-12164 - [c15]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 - [c14]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 - [c13]Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant:
Minimax-Optimal Location Estimation. NeurIPS 2023 - [c12]Xinyi Hu, Jasper C. H. Lee, Jimmy Ho-Man Lee:
Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints. NeurIPS 2023 - [i16]Shivam Gupta, Jasper C. H. Lee, Eric Price:
High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. CoRR abs/2302.02497 (2023) - [i15]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 abs/2303.06698 (2023) - [i14]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 abs/2305.00966 (2023) - [i13]Shivam Gupta, Jasper C. H. Lee, Eric Price:
Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. CoRR abs/2306.16573 (2023) - [i12]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 abs/2311.08022 (2023) - [i11]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 abs/2311.12784 (2023) - [i10]Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Thanasis Pittas:
Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation. CoRR abs/2312.11769 (2023) - 2022
- [c11]Jasper C. H. Lee, Paul Valiant:
Optimal Sub-Gaussian Mean Estimation in Very High Dimensions. ITCS 2022: 98:1-98:21 - [c10]Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant:
Finite-Sample Maximum Likelihood Estimation of Location. NeurIPS 2022 - [c9]Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia:
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. NeurIPS 2022 - [c8]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 - [i9]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 abs/2205.01672 (2022) - [i8]Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant:
Finite-Sample Maximum Likelihood Estimation of Location. CoRR abs/2206.02348 (2022) - [i7]Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee:
Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints. CoRR abs/2209.03668 (2022) - [i6]Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia:
Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. CoRR abs/2211.16333 (2022) - 2021
- [b1]Jasper C. H. Lee:
Classic and Modern Challenges in Statistical Estimation. Brown University, USA, 2021 - [c7]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: 61:1-61:19 - [c6]Jasper C. H. Lee, Paul Valiant:
Optimal Sub-Gaussian Mean Estimation in $\mathbb{R}$. FOCS 2021: 672-683 - [c5]Uthsav Chitra, Kimberly Ding, Jasper C. H. Lee, Benjamin J. Raphael:
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies. ICML 2021: 1908-1919 - [c4]Jasper C. H. Lee, Paul Valiant:
Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins. SODA 2021: 414-433 - 2020
- [i5]Jasper C. H. Lee, Paul Valiant:
Optimal Sub-Gaussian Mean Estimation in R. CoRR abs/2011.08384 (2020)
2010 – 2019
- 2019
- [i4]Jasper C. H. Lee, Paul Valiant:
Uncertainty about Uncertainty: Near-Optimal Adaptive Algorithms for Estimating Binary Mixtures of Unknown Coins. CoRR abs/1904.09228 (2019) - [i3]Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai:
Finding the Mode of a Kernel Density Estimate. CoRR abs/1912.07673 (2019) - 2018
- [c3]Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong:
Augmenting Stream Constraint Programming with Eventuality Conditions. CP 2018: 242-258 - [i2]Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong:
Augmenting Stream Constraint Programming with Eventuality Conditions. CoRR abs/1806.04325 (2018) - 2016
- [c2]Jasper C. H. Lee, Paul Valiant:
Optimizing Star-Convex Functions. FOCS 2016: 603-614 - 2015
- [i1]Jasper C. H. Lee, Paul Valiant:
Beyond Convex Optimization: Star-Convex Functions. CoRR abs/1511.04466 (2015) - 2014
- [c1]Jasper C. H. Lee, Jimmy H. M. Lee:
Towards Practical Infinite Stream Constraint Programming: Applications and Implementation. CP 2014: 449-464
Coauthor Index
aka: Jimmy H. M. Lee
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last updated on 2025-02-15 01:25 CET by the dblp team
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