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https://research.buaa.edu.cn/zh/publications/automated-conceptual-design-of-mechanisms-based-on-thompson-sampl/ Automated conceptual design of mechanisms based on Thompson Sampling and Monte Carlo Tree Search -... conceptual design thompson sampling monte carlo automated mechanisms https://papers.nips.cc/paper_files/paper/2022/hash/fa3c139cf8084de7bfd944f1c90c8695-Abstract-Conference.html Bandit Theory and Thompson Sampling-Guided Directed Evolution for Sequence Optimization thompson sampling directed evolution sequence optimization bandit theory https://openreview.net/forum?id=bdU4TXlg35 MINTS: Minimalist Thompson Sampling | OpenReview The Bayesian paradigm offers principled tools for sequential decision-making under uncertainty, but its reliance on a probabilistic model for all parameters... thompson sampling mints minimalist openreview https://underline.io/lecture/15315-state-aware-variational-thompson-sampling-for-deep-q-networks State-Aware Variational Thompson Sampling for Deep Q-Networks | Underline On-demand video platform giving you access to lectures from conferences worldwide. thompson sampling state aware deep q https://scholars.duke.edu/publication/1588271 Scholars@Duke publication: Finite-Time Regret of Thompson Sampling Algorithms for Exponential... thompson sampling scholars duke publication finite https://www.itm-conferences.org/articles/itmconf/abs/2025/11/itmconf_acaai2025_02004/itmconf_acaai2025_02004.html A Comparative Study of UCB and Thompson Sampling with Structured Rewards: Parameter Sensitivity and... ITM Web of Conferences, open-access proceedings in information technology, computer science and mathematics comparative study thompson sampling ucb structured rewards https://researchconnect.buffalo.edu/en/publications/scalable-thompson-sampling-via-optimal-transport-2/ Scalable Thompson Sampling via Optimal Transport - SUNY University at Buffalo university at buffalo thompson sampling scalable via optimal https://deepai.org/publication/analysis-and-design-of-thompson-sampling-for-stochastic-partial-monitoring Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring | DeepAI Jun 17, 2020 - 06/17/20 - We investigate finite stochastic partial monitoring, which is a general model for sequential learning with limited feedback. While... design of thompson sampling analysis stochastic partial https://mcpanalytics.ai/whitepapers/contextual-bandits-whitepaper Contextual Bandits: UCB vs Thompson Sampling in Prod | MCP Analytics Multi-armed bandits ignore context. Contextual bandits increase CTR 23% by personalizing. Here's how UCB and Thompson Sampling differ. contextual bandits thompson sampling ucb vs prod https://arxiv.org/abs/2303.09033 [2303.09033] Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling Abstract page for arXiv paper 2303.09033: Only Pay for What Is Uncertain: Variance-Adaptive Thompson Sampling pay for what is thompson sampling uncertain variance https://jmlr.org/papers/v22/20-447.html Thompson Sampling Algorithms for Cascading Bandits thompson sampling algorithms cascading bandits https://libra.unine.ch/entities/publication/84d57fbd-a46a-41ef-8a76-0c883f877114 Thompson Sampling For Stochastic Bandits with Graph Feedback We present a novel extension of Thompson Sampling for stochastic sequential decision problems with graph feedback, even when the graph structure itself is... thompson sampling stochastic bandits graph feedback https://bytez.com/docs/arxiv/1810.01187/paper Thompson Sampling Algorithms for Cascading Bandits | Read Paper on Bytez Oct 2, 2018 - Motivated by the pressing need for efficient optimization in online recommender systems, we revisit the cascading bandit model proposed by Kveton et al.... thompson sampling read paper algorithms cascading bandits https://proceedings.neurips.cc/paper_files/paper/2021/hash/46489c17893dfdcf028883202cefd6d1-Abstract.html On the Suboptimality of Thompson Sampling in High Dimensions on the thompson sampling high dimensions