Mathematics & Optimization

Reaching Kesten-Stigum Threshold in the Stochastic Block Model under Node Corruptions COLT 2023 Re-Basin via Implicit Sinkhorn Differentiation CVPR 2023 Recent Developments in Data-Driven Algorithms for Discrete Optimization AAAI 2023 Recipe2Video: Synthesizing Personalized Videos From Recipe Texts WACV 2023 Recognizing Rigid Patterns of Unlabeled Point Clouds by Complete and Continuous Isometry Invariants With No False Negatives and No False Positives CVPR 2023 Reconstructing an Epidemic Outbreak Using Steiner Connectivity AAAI 2023 Reconstructing Ultrametric Trees from Noisy Experiments ALT 2023 Recovering Simultaneously Structured Data via Non-Convex Iteratively Reweighted Least Squares NeurIPS 2023 Recovering Top-Two Answers and Confusion Probability in Multi-Choice Crowdsourcing ICML 2023 Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework ICML 2023 Rectified Pessimistic-Optimistic Learning for Stochastic Continuum-armed Bandit with Constraints L4DC 2023 Recursive Quantile Estimation: Non-Asymptotic Confidence Bounds JMLR 2023 Reducing Communication for Split Learning by Randomized Top-k Sparsification IJCAI 2023 Reducing Discretization Error in the Frank-Wolfe Method AISTATS 2023 Reducing the Prior Mismatch of Stochastic Differential Equations for Diffusion-based Speech Enhancement Interspeech 2023 Reducing Training Time in Cross-Silo Federated Learning Using Multigraph Topology ICCV 2023 Refined Convergence and Topology Learning for Decentralized SGD with Heterogeneous Data AISTATS 2023 Refined Mechanism Design for Approximately Structured Priors via Active Regression NeurIPS 2023 Regret Matching+: (In)Stability and Fast Convergence in Games NeurIPS 2023 Regret Minimization and Convergence to Equilibria in General-sum Markov Games ICML 2023 Regularized online DR-submodular optimization UAI 2023 ReHLine: Regularized Composite ReLU-ReHU Loss Minimization with Linear Computation and Linear Convergence NeurIPS 2023 Reinforcement Learning for Adaptive Mesh Refinement AISTATS 2023 Reinforcement Learning for Branch-and-Bound Optimisation Using Retrospective Trajectories AAAI 2023 Reinforcement Learning for Joint Optimization of Multiple Rewards JMLR 2023