no code implementations • 22 Apr 2024 • Lili Wu, Ben Evans, Riashat Islam, Raihan Seraj, Yonathan Efroni, Alex Lamb
In this work, we consider the problem of discovering the agent-centric state in the more challenging high-dimensional non-Markovian setting, when the state can be decoded from a sequence of past observations.
no code implementations • 4 Mar 2024 • Jinhua Zhao, Lili Wu, Xiaoan Yang, Zhilaing Gao, Hong Deng
Patients were categorized into stage 1 or stage 2 based on a baseline eGFR of less than 90 ml/min/m^2 Results: 125 CHB patients were matched 1:1 in both the combined treatment and cured groups.
no code implementations • 6 Nov 2023 • Anurag Koul, Shivakanth Sujit, Shaoru Chen, Ben Evans, Lili Wu, Byron Xu, Rajan Chari, Riashat Islam, Raihan Seraj, Yonathan Efroni, Lekan Molu, Miro Dudik, John Langford, Alex Lamb
Goal-conditioned planning benefits from learned low-dimensional representations of rich, high-dimensional observations.
1 code implementation • 19 Oct 2022 • Ian Waudby-Smith, Lili Wu, Aaditya Ramdas, Nikos Karampatziakis, Paul Mineiro
Importantly, our methods can be employed while the original experiment is still running (that is, not necessarily post-hoc), when the logging policy may be itself changing (due to learning), and even if the context distributions are a highly dependent time-series (such as if they are drifting over time).
no code implementations • 13 Jul 2019 • Jesse Clifton, Lili Wu, Eric Laber
We introduce Parameterized Exploration (PE), a simple family of methods for model-based tuning of the exploration schedule in sequential decision problems.
1 code implementation • 14 Aug 2018 • Zhen Li, Lili Wu, Weilian Zhou, Sujit Ghosh
Multivariate density estimation is a popular technique in statistics with wide applications including regression models allowing for heteroskedasticity in conditional variances.
Methodology