Mathematics & Optimization

Reinforcement Learning with Lookahead Information NeurIPS 2024 Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization ICLR 2024 Reliable Learning of Halfspaces under Gaussian Marginals NeurIPS 2024 Rényi Pufferfish Privacy: General Additive Noise Mechanisms and Privacy Amplification by Iteration via Shift Reduction Lemmas ICML 2024 Repeated Fair Allocation of Indivisible Items AAAI 2024 Repelling Random Walks ICLR 2024 Replicability in Learning: Geometric Partitions and KKM-Sperner Lemma NeurIPS 2024 Replicable Learning of Large-Margin Halfspaces ICML 2024 Representing Compounding with OntoLex. An Evaluation of Vocabularies for Word Formation Resources COLING 2024 Resolution Limit of Single-Photon LiDAR CVPR 2024 ResPilot: Teleoperated Finger Gaiting via Gaussian Process Residual Learning CoRL 2024 Responsibility in Extensive Form Games AAAI 2024 Restless bandits with rewards generated by a linear Gaussian dynamical system L4DC 2024 Restricted Isometry Property of Rank-One Measurements with Random Unit-Modulus Vectors AISTATS 2024 Rethinking Data Shapley for Data Selection Tasks: Misleads and Merits ICML 2024 Rethinking Human Motion Prediction with Symplectic Integral CVPR 2024 Rethinking Parity Check Enhanced Symmetry-Preserving Ansatz NeurIPS 2024 Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms ICLR 2024 Rethinking Word-level Adversarial Attack: The Trade-off between Efficiency, Effectiveness, and Imperceptibility COLING 2024 RetroBridge: Modeling Retrosynthesis with Markov Bridges ICLR 2024 Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NeurIPS 2024 Reverse Transition Kernel: A Flexible Framework to Accelerate Diffusion Inference NeurIPS 2024 Revisiting Convergence of AdaGrad with Relaxed Assumptions UAI 2024 Revisiting Global Translation Estimation with Feature Tracks CVPR 2024 Revisiting Sampson Approximations for Geometric Estimation Problems CVPR 2024