53 citations · 55 across the 4 of their papers we have counts for
4 papers
Improved Best-of-Both-Worlds Guarantees for Multi-Armed Bandits: FTRL with General Regularizers and Multiple Optimal Arms
Tiancheng Jin, Junyan Liu, Haipeng Luo
We study the problem of designing adaptive multi-armed bandit algorithms that perform optimally in both the stochastic setting and the adversarial setting simultaneously (often kno…
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions
Junyan Liu, Shuai Li, Dapeng Li
We study the problem of stochastic bandits with adversarial corruptions in the cooperative multi-agent setting, where agents interact with a common -armed bandit problem, an…
Robust Factor Analysis Parameter Estimation
Rui Zhou, Junyan Liu, Sandeep Kumar +1
This paper considers the problem of robustly estimating the parameters of a heavy-tailed multivariate distribution when the covariance matrix is known to have the structure of a lo…
Parameter Estimation of Heavy-Tailed AR Model with Missing Data via Stochastic EM
Junyan Liu, Sandeep Kumar, Daniel P. Palomar
The autoregressive (AR) model is a widely used model to understand time series data. Traditionally, the innovation noise of the AR is modeled as Gaussian. However, many time series…