multinomial logit

Infinite-Horizon Reinforcement Learning with Multinomial Logit Function Approximation AISTATS 2025 Contextual Multinomial Logit Bandits with General Value Functions NeurIPS 2024 Nearly Minimax Optimal Regret for Multinomial Logistic Bandit NeurIPS 2024 Online Learning of Delayed Choices NeurIPS 2024 Provably Efficient Reinforcement Learning with Multinomial Logit Function Approximation NeurIPS 2024 Learning to Rank under Multinomial Logit Choice JMLR 2023 Dynamic pricing and assortment under a contextual MNL demand NeurIPS 2022 Instance-Sensitive Algorithms for Pure Exploration in Multinomial Logit Bandit AAAI 2022 Learning Mixed Multinomial Logits with Provable Guarantees NeurIPS 2022 Light RUMs ICML 2021 Multinomial Logit Contextual Bandits: Provable Optimality and Practicality AAAI 2021 Dynamic Assortment Optimization with Changing Contextual Information JMLR 2020 Combinatorial Bandits with Relative Feedback NeurIPS 2019 Discovering Context Effects from Raw Choice Data ICML 2019 Thompson Sampling for Multinomial Logit Contextual Bandits NeurIPS 2019 Accelerated Spectral Ranking ICML 2018 Learning a Mixture of Two Multinomial Logits ICML 2018 Learning from Comparisons and Choices JMLR 2018 Near-Optimal Policies for Dynamic Multinomial Logit Assortment Selection Models NeurIPS 2018 Thompson Sampling for the MNL-Bandit COLT 2017 Collaboratively Learning Preferences from Ordinal Data NeurIPS 2015 Learning Mixed Multinomial Logit Model from Ordinal Data NeurIPS 2014 Bayesian Nonparametric Modeling of Suicide Attempts NeurIPS 2012 Optimal Bayesian Recommendation Sets and Myopically Optimal Choice Query Sets NeurIPS 2010