5 papers
Displaced tracks as a signal of dark matter co-annihilation: a case study using inert doublet model at collider
Hrishikesh Deka, Subhaditya Bhattacharya, Amir Subba +1
Dark sector containing heavy (charged) particles with small mass splitting with dark matter (DM) can co-annihilate and produce correct relic density, evading direct detection bound…
Optimal and Efficient Contextual Combinatorial Semi-bandits with General Function Approximation
Hao Qin, Chicheng Zhang
We study the contextual combinatorial semi-bandit (CCSB) problem with general reward function approximation. At each round, the learner observes a context, selects a combinatorial…
Taming the Monster Every Context: Complexity Measure and Unified Framework for Offline-Oracle Efficient Contextual Bandits
Hao Qin, Chicheng Zhang
We propose an algorithmic framework, Offline Estimation to Decisions (OE2D), that efficiently reduces contextual bandit learning with general reward function approximation to offli…
Achieving adaptivity and optimality for multi-armed bandits using Exponential-Kullback Leibler Maillard Sampling
Hao Qin, Kwang-Sung Jun, Chicheng Zhang
We study the problem of -armed bandits with reward distributions belonging to a one-parameter exponential distribution family. In the literature, several criteria have been prop…
Efficient Low-Rank Matrix Estimation, Experimental Design, and Arm-Set-Dependent Low-Rank Bandits
Kyoungseok Jang, Chicheng Zhang, Kwang-Sung Jun
We study low-rank matrix trace regression and the related problem of low-rank matrix bandits. Assuming access to the distribution of the covariates, we propose a novel low-rank mat…