Conference Publications:

• Clustering Mixtures of Bounded Covariance Distributions Under Optimal Separation
  Ilias Diakonikolas, Daniel M. Kane, Jasper C.H. Lee, Thanasis Pittas
  SODA 2025.
  [arXiv]


• Multi-Stage Predict+Optimize for (Mixed Integer) Linear Programs
  Xinyi Hu, Jasper C.H. Lee, Jimmy H.M. Lee, Peter J. Stuckey
  NeurIPS 2024.
  


• Minimax-Optimal Location Estimation
  Shivam Gupta, Jasper C.H. Lee, Eric Price and Paul Valiant
  NeurIPS 2023.
  


• Optimality in Mean Estimation: Beyond Worst-Case, Beyond Sub-Gaussian, and Beyond 1+alpha Moments
  Trung Dang, Jasper C.H. Lee, Maoyuan Song and Paul Valiant
  NeurIPS 2023.
  [arXiv]


• A Spectral Algorithm for List-Decodable Covariance Estimation in Relative Frobenius Norm
  Ilias Diakonikolas, Daniel Kane, Jasper C.H. Lee, Ankit Pensia and Thanasis Pittas
  NeurIPS 2023 (Spotlight).
  [arXiv]


• Two-Stage Predict+Optimize for MILPs with Unknown Parameters in Constraints
  Xinyi Hu, Jasper C.H. Lee and Jimmy H.M. Lee
  NeurIPS 2023.
  [arXiv]


• Finite-Sample Symmetric Mean Estimation with Fisher Information Rate
  Shivam Gupta, Jasper C.H. Lee and Eric Price
  COLT 2023.
  [arXiv]


• High-dimensional Location Estimation via Norm Concentration for Subgamma Vectors
  Shivam Gupta, Jasper C.H. Lee and Eric Price
  ICML 2023.
  [arXiv]


• Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints
  Xinyi Hu, Jasper C.H. Lee and Jimmy H.M. Lee
  CPAIOR 2023.
  


• Predict+Optimize for Packing and Covering LPs with Unknown Parameters in Constraints
  Xinyi Hu, Jasper C.H. Lee and Jimmy H.M. Lee
  AAAI 2023. (Oral presentation)
  [arXiv]


• Finite-Sample Maximum Likelihood Estimation of Location
  Shivam Gupta, Jasper C.H. Lee, Eric Price and Paul Valiant
  NeurIPS 2022.
  [arXiv]


• Outlier-Robust Sparse Mean Estimation for Heavy-Tailed Distributions
  Ilias Diakonikolas, Daniel Kane, Jasper C.H. Lee and Ankit Pensia
  NeurIPS 2022.
  [arXiv]


• Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize
  Xinyi Hu, Jasper C.H. Lee, Jimmy H.M. Lee and Allen Z. Zhong
  NeurIPS 2022.
  [arXiv]


• Optimal Sub-Gaussian Mean Estimation in Very High Dimensions
  Jasper C.H. Lee and Paul Valiant
  ITCS 2022, pages 98:1-98:21.
  [Proceedings]


• Optimal Sub-Gaussian Mean Estimation in R
  Jasper C.H. Lee and Paul Valiant
  FOCS 2021, pages 672-683.
  [arXiv] [Proceedings]


• Finding the Mode of a Kernel Density Estimate
  Jasper C.H. Lee, Jerry Li, Christopher Musco, Jeff M. Phillips and Wai Ming Tai
  ESA 2021, pages 61:1-61:19.
  [arXiv] [Proceedings]


• Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
  ICML 2021, pages 1908-1919.
  Uthsav Chitra, Kimberly Ding, Jasper C.H. Lee and Benjamin Raphael
  [arXiv] [Proceedings]


• Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins
  SODA 2021, pages 394-413.
  Jasper C.H. Lee and Paul Valiant
  [arXiv] [Proceedings]


• Fast Algorithms for Computing Interim Allocations in Single-Parameter Environments
  PRIMA 2018, pages 194-209.
  Amy Greenwald, Jasper Lee, Takehiro Oyakawa
  


• Augmenting Stream Constraint Programming with Eventuality Conditions
  CP 2018, pages 242-258.
  Jasper C.H. Lee, Jimmy H.M. Lee and Zhuowei Zhong
  [arXiv] [Proceedings]


• Optimizing Star-Convex Functions
  FOCS 2016, pages 603-614.
  Jasper C.H. Lee and Paul Valiant
  [arXiv] [Proceedings]


• Towards Practical Infinite Data Stream Constraint Solving: Applications and Implementation
  CP 2014, pages 449-464.
  Jasper C.H. Lee and Jimmy H.M. Lee
  [Proceedings]