3 citations · 8 across the 14 of their papers we have counts for
4 papers · 1 filter
Branch & Learn with Post-hoc Correction for Predict+Optimize with Unknown Parameters in Constraints
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee
Combining machine learning and constrained optimization, Predict+Optimize tackles optimization problems containing parameters that are unknown at the time of solving. Prior works f…
Branch & Learn for Recursively and Iteratively Solvable Problems in Predict+Optimize
Xinyi Hu, Jasper C. H. Lee, Jimmy H. M. Lee +1
This paper proposes Branch & Learn, a framework for Predict+Optimize to tackle optimization problems containing parameters that are unknown at the time of solving. Given an optimiz…
Quantifying and Reducing Bias in Maximum Likelihood Estimation of Structured Anomalies
Uthsav Chitra, Kimberly Ding, Jasper C. H. Lee +1
Anomaly estimation, or the problem of finding a subset of a dataset that differs from the rest of the dataset, is a classic problem in machine learning and data mining. In both the…
Uncertainty about Uncertainty: Optimal Adaptive Algorithms for Estimating Mixtures of Unknown Coins
Jasper C. H. Lee, Paul Valiant
Given a mixture between two populations of coins, "positive" coins that each have -- unknown and potentially different -- bias and "negative" coins with bias $\…