Many modern high-performing machine learning models such as GPT-3 primar...
Double Auction enables decentralized transfer of goods between multiple
...
Proof of work cryptocurrencies began with the promise of a more egalitar...
We propose AdaTS, a Thompson sampling algorithm that adapts
sequentially...
We study a version of the contextual bandit problem where an agent is gi...
Recent work has considered natural variations of the multi-armed bandit
...
We design decentralized algorithms for regret minimization in the two-si...
We study the problem of learning tree-structured Markov random fields (M...
Over-parameterization and adaptive methods have played a crucial role in...
We study a variant of the stochastic linear bandit problem wherein we
op...
We study regret minimization problems in a two-sided matching market whe...
We study a novel variant of the multi-armed bandit problem, where at eac...
We study a variant of the multi-armed bandit problem where side informat...
We consider a novel stochastic multi-armed bandit setting, where playing...
We consider the problem of learning the weighted edges of a mixture of t...
Blockchain-based cryptocurrencies prioritize transactions based on their...
Asynchronous verifiable secret sharing (AVSS) is a cornerstone primitive...
Blockchain-based cryptocurrencies have demonstrated how to securely impl...