3 citations · 6 across the 6 of their papers we have counts for
9 papers
Convolutional GRU Network for Seasonal Prediction of the El Niño-Southern Oscillation
Lingda Wang, Savana Ammons, Vera Mikyoung Hur +2
Predicting sea surface temperature (SST) within the El Niño-Southern Oscillation (ENSO) region has been extensively studied due to its significant influence on global temperature a…
Multi-Frequency Joint Community Detection and Phase Synchronization
Lingda Wang, Zhizhen Zhao
This paper studies the joint community detection and phase synchronization problem on the \textit{stochastic block model with relative phase}, where each node is associated with an…
Robust Nonparametric Distribution Forecast with Backtest-based Bootstrap and Adaptive Residual Selection
Longshaokan Wang, Lingda Wang, Mina Georgieva +6
Distribution forecast can quantify forecast uncertainty and provide various forecast scenarios with their corresponding estimated probabilities. Accurate distribution forecast is c…
Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem
Bingcong Li, Lingda Wang, Georgios B. Giannakis +1
Aiming at convex optimization under structural constraints, this work introduces and analyzes a variant of the Frank Wolfe (FW) algorithm termed ExtraFW. The distinct feature of Ex…
Adversarial Linear Contextual Bandits with Graph-Structured Side Observations
Lingda Wang, Bingcong Li, Huozhi Zhou +3
This paper studies the adversarial graphical contextual bandits, a variant of adversarial multi-armed bandits that leverage two categories of the most common side information: \emp…
Nearly Optimal Algorithms for Piecewise-Stationary Cascading Bandits
Lingda Wang, Huozhi Zhou, Bingcong Li +2
Cascading bandit (CB) is a popular model for web search and online advertising, where an agent aims to learn the most attractive items out of a ground set of size during th…