Jasper C. H. Lee

45 papers A* 20A 4B 1Journal 19

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	All-Purpose Mean Estimation over R. AAAI Jasper C. H. Lee
2025	A*	`conf`	All-Purpose Mean Estimation over R: Optimal Sub-Gaussianity with Outlier Robustness and Low Moments Performance. ICML Jasper C. H. Lee, Walter McKelvie, Maoyuan Song, Paul Valiant
2025	A*	`conf`	Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation. SODA Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Thanasis Pittas
2025	J	`jnl`	Linear Regression under Missing or Corrupted Coordinates. CoRR Ilias Diakonikolas, Jelena Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Thanasis Pittas
2025	A*	`conf`	On Fine-Grained Distinct Element Estimation. ICML Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Thanasis Pittas, David P. Woodruff, Samson Zhou
2025	J	`jnl`	On Fine-Grained Distinct Element Estimation. CoRR Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Thanasis Pittas, David P. Woodruff, Samson Zhou
2025	A*	`conf`	On Learning Parallel Pancakes with Mostly Uniform Weights. ICML Ilias Diakonikolas, Daniel Kane, Sushrut Karmalkar, Jasper C. H. Lee, Thanasis Pittas
2025	J	`jnl`	On Learning Parallel Pancakes with Mostly Uniform Weights. CoRR Ilias Diakonikolas, Daniel M. Kane, Sushrut Karmalkar, Jasper C. H. Lee, Thanasis Pittas
2024	A*	`conf`	Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs. NeurIPS Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Peter J. Stuckey
2023	A*	`conf`	A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. NeurIPS Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas
2023	J	`jnl`	A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm. CoRR Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia, Thanasis Pittas
2023	B	`conf`	Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints. CPAIOR Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
2023	J	`jnl`	Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints. CoRR Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
2023	J	`jnl`	Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation. CoRR Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Thanasis Pittas
2023	A*	`conf`	Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. COLT Shivam Gupta, Jasper C. H. Lee, Eric Price
2023	J	`jnl`	Finite-Sample Symmetric Mean Estimation with Fisher Information Rate. CoRR Shivam Gupta, Jasper C. H. Lee, Eric Price
2023	A*	`conf`	High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. ICML Shivam Gupta, Jasper C. H. Lee, Eric Price
2023	J	`jnl`	High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors. CoRR Shivam Gupta, Jasper C. H. Lee, Eric Price
2023	A*	`conf`	Minimax-Optimal Location Estimation. NeurIPS Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
2023	A*	`conf`	Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments. NeurIPS Trung Dang, Jasper C. H. Lee, Maoyuan Raymond Song, Paul Valiant
2023	J	`jnl`	Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+α Moments. CoRR Trung Dang, Jasper C. H. Lee, Maoyuan Song, Paul Valiant
2023	A*	`conf`	Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints. AAAI Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
2023	A*	`conf`	Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints. NeurIPS Xinyi Hu, Jasper C. H. Lee, Jimmy Ho-Man Lee
2023	J	`jnl`	Two-Stage Predict+Optimize for Mixed Integer Linear Programs with Unknown Parameters in Constraints. CoRR Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
2022	A*	`conf`	Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize. NeurIPS Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
2022	J	`jnl`	Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize. CoRR Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
2022	A*	`conf`	Finite-Sample Maximum Likelihood Estimation of Location. NeurIPS Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
2022	J	`jnl`	Finite-Sample Maximum Likelihood Estimation of Location. CoRR Shivam Gupta, Jasper C. H. Lee, Eric Price, Paul Valiant
2022	A	`conf`	Optimal Sub-Gaussian Mean Estimation in Very High Dimensions. ITCS Jasper C. H. Lee, Paul Valiant
2022	A*	`conf`	Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. NeurIPS Ilias Diakonikolas, Daniel Kane, Jasper C. H. Lee, Ankit Pensia
2022	J	`jnl`	Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions. CoRR Ilias Diakonikolas, Daniel M. Kane, Jasper C. H. Lee, Ankit Pensia
2022	J	`jnl`	Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints. CoRR Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
2021	—	`—`	Classic and Modern Challenges in Statistical Estimation. Jasper C. H. Lee
2021	A	`conf`	Finding an Approximate Mode of a Kernel Density Estimate. ESA Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai
2021	A*	`conf`	Optimal Sub-Gaussian Mean Estimation in $\mathbb{R}$. FOCS Jasper C. H. Lee, Paul Valiant
2021	A*	`conf`	Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies. ICML Uthsav Chitra, Kimberly Ding, Jasper C. H. Lee, Benjamin J. Raphael
2021	A*	`conf`	Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins. SODA Jasper C. H. Lee, Paul Valiant
2020	J	`jnl`	Optimal Sub-Gaussian Mean Estimation in R. CoRR Jasper C. H. Lee, Paul Valiant
2019	J	`jnl`	Finding the Mode of a Kernel Density Estimate. CoRR Jasper C. H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips, Wai Ming Tai
2019	J	`jnl`	Uncertainty about Uncertainty: Near-Optimal Adaptive Algorithms for Estimating Binary Mixtures of Unknown Coins. CoRR Jasper C. H. Lee, Paul Valiant
2018	A	`conf`	Augmenting Stream Constraint Programming with Eventuality Conditions. CP Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
2018	J	`jnl`	Augmenting Stream Constraint Programming with Eventuality Conditions. CoRR Jasper C. H. Lee, Jimmy H. M. Lee, Allen Z. Zhong
2016	A*	`conf`	Optimizing Star-Convex Functions. FOCS Jasper C. H. Lee, Paul Valiant
2015	J	`jnl`	Beyond Convex Optimization: Star-Convex Functions. CoRR Jasper C. H. Lee, Paul Valiant
2014	A	`conf`	Towards Practical Infinite Stream Constraint Programming: Applications and Implementation. CP Jasper C. H. Lee, Jimmy H. M. Lee