Mathematics & Optimization

Reinforcement Learning for Solving Stochastic Vehicle Routing Problem ACML 2023 Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification NeurIPS 2023 Reliable Measures of Spread in High Dimensional Latent Spaces ICML 2023 ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs ICML 2023 Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD JMLR 2023 Repeated Bilateral Trade Against a Smoothed Adversary COLT 2023 Replicable Clustering NeurIPS 2023 Representation Equivalent Neural Operators: a Framework for Alias-free Operator Learning NeurIPS 2023 Representation with Incomplete Votes AAAI 2023 Representing and Computing Uncertainty in Phonological Reconstruction EMNLP 2023 Reproducing Kernels and New Approaches in Compositional Data Analysis JMLR 2023 Residual Alignment: Uncovering the Mechanisms of Residual Networks NeurIPS 2023 Resilient Multiple Choice Learning: A learned scoring scheme with application to audio scene analysis NeurIPS 2023 Resolving the Approximability of Offline and Online Non-monotone DR-Submodular Maximization over General Convex Sets AISTATS 2023 Resolving the Mixing Time of the Langevin Algorithm to its Stationary Distribution for Log-Concave Sampling COLT 2023 Resource Sharing through Multi-Round Matchings AAAI 2023 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the in the O(epsilon^(-7/4)) Complexity JMLR 2023 Restless Bandits with Average Reward: Breaking the Uniform Global Attractor Assumption NeurIPS 2023 ReSync: Riemannian Subgradient-based Robust Rotation Synchronization NeurIPS 2023 Rethinking Data-Free Quantization as a Zero-Sum Game AAAI 2023 Rethinking Initialization of the Sinkhorn Algorithm AISTATS 2023 Rethinking Symbolic Regression: Morphology and Adaptability in the Context of Evolutionary Algorithms ICLR 2023 Rethinking Warm-Starts with Predictions: Learning Predictions Close to Sets of Optimal Solutions for Faster $\text{L}$-/$\text{L}^\natural$-Convex Function Minimization ICML 2023 Retrieval-Augmented Multiple Instance Learning NeurIPS 2023 Reversible and irreversible bracket-based dynamics for deep graph neural networks NeurIPS 2023