Showing 1–20 of 105 results
/ Date/ Name
Mar 16, 2020Uncertainty Quantification for Demand Prediction in Contextual Dynamic PricingJan 5, 2021Adversarial Combinatorial Bandits with General Non-linear Reward FunctionsMar 30, 2019Nearly Minimax-Optimal Regret for Linearly Parameterized BanditsApr 4, 2015Graph Connectivity in Noisy Sparse Subspace ClusteringNov 3, 2017Towards Neural Machine Translation with Partially Aligned CorporaNov 30, 2022xTrimoABFold: De novo Antibody Structure Prediction without MSANov 28, 2023Utility Fairness in Contextual Dynamic Pricing with Demand LearningMay 28, 2025Continuum-armed Bandit Optimization with Batch Pairwise Comparison OraclesJul 22, 2022Network Revenue Management with Demand Learning and Fair Resource-Consumption BalancingAug 17, 2022Performance Optimization for Semantic Communications: An Attention-based Reinforcement Learning ApproachOct 3, 2021Active Learning for Contextual Search with Binary FeedbacksOct 9, 2019Robust Dynamic Assortment Optimization in the Presence of Outlier CustomersSep 17, 2019Gated Recurrent Units Learning for Optimal Deployment of Visible Light Communications Enabled UAVsJun 20, 2016Online and Differentially-Private Tensor DecompositionNov 13, 2017Word, Subword or Character? An Empirical Study of Granularity in Chinese-English NMTOct 29, 2017Stochastic Zeroth-order Optimization in High DimensionsFeb 23, 2016An Improved Gap-Dependency Analysis of the Noisy Power MethodFeb 9, 2017Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing CovariatesJul 8, 2024A Re-solving Heuristic for Dynamic Assortment Optimization with Knapsack ConstraintsMar 18, 2026Grievance Politics vs. Policy Debates: A Cross-Platform Analysis of Conservative Discourse on Truth Social and Reddit