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Papers (including subtopics)

Batch Reinforcement Learning Through Continuation Method ICLR 2021 Bayesian Latent Factor Model for Higher-order Data ACML 2021 Bayesian Optimistic Optimisation with Exponentially Decaying Regret ICML 2021 Bayesian Optimization with High-Dimensional Outputs NeurIPS 2021 Bayesian Persuasion under Ex Ante and Ex Post Constraints AAAI 2021 Bayesian Quadrature on Riemannian Data Manifolds ICML 2021 Benchmarking Scalable Methods for Streaming Cross Document Entity Coreference ACL 2021 Best Arm Identification in Graphical Bilinear Bandits ICML 2021 Best-case lower bounds in online learning NeurIPS 2021 Best-Effort Synthesis: Doing Your Best Is Not Harder Than Giving Up IJCAI 2021 Best Model Identification: A Rested Bandit Formulation ICML 2021 Best of Both Worlds: Practical and Theoretically Optimal Submodular Maximization in Parallel NeurIPS 2021 Better Algorithms for Individually Fair k-Clustering NeurIPS 2021 Better Bounds on the Adaptivity Gap of Influence Maximization under Full-adoption Feedback AAAI 2021 Beyond $log^2(T)$ regret for decentralized bandits in matching markets ICML 2021 Beyond Bandit Feedback in Online Multiclass Classification NeurIPS 2021 Beyond Perturbation Stability: LP Recovery Guarantees for MAP Inference on Noisy Stable Instances AISTATS 2021 Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design ICML 2021 Bias-corrected peaks-over-threshold estimation of the CVaR UAI 2021 Bilevel Optimization: Convergence Analysis and Enhanced Design ICML 2021 Bilinear Parameterization for Non-Separable Singular Value Penalties CVPR 2021 Binary Matrix Factorisation via Column Generation AAAI 2021 Black-Box Control for Linear Dynamical Systems COLT 2021 Black-Box Reductions for Zeroth-Order Gradient Algorithms to Achieve Lower Query Complexity JMLR 2021 Block-wise Word Embedding Compression Revisited: Better Weighting and Structuring EMNLP 2021