Mathematics & Optimization

Rejection sampling from shape-constrained distributions in sublinear time AISTATS 2022 Relative Pose From a Calibrated and an Uncalibrated Smartphone Image CVPR 2022 Reliable Inlier Evaluation for Unsupervised Point Cloud Registration AAAI 2022 Representing 3D Shapes With Probabilistic Directed Distance Fields CVPR 2022 Representing Spatial Trajectories as Distributions NeurIPS 2022 Reproducibility in Optimization: Theoretical Framework and Limits NeurIPS 2022 Residual-Based Sampling for Online Outlier-Robust PCA ICML 2022 Resolving Inconsistencies in Simple Temporal Problems: A Parameterized Approach AAAI 2022 Resolving the data ambiguity for periodic crystals NeurIPS 2022 Restarted Nonconvex Accelerated Gradient Descent: No More Polylogarithmic Factor in the $O(ε^-7/4)$ Complexity ICML 2022 Rethinking Fano’s Inequality in Ensemble Learning ICML 2022 Reverse Engineering ℓ_p attacks: A block-sparse optimization approach with recovery guarantees ICML 2022 Revision by Comparison for Ranking Functions IJCAI 2022 Revisiting Document Image Dewarping by Grid Regularization CVPR 2022 Revisiting Online Submodular Minimization: Gap-Dependent Regret Bounds, Best of Both Worlds and Adversarial Robustness ICML 2022 Revisiting Optimal Convergence Rate for Smooth and Non-convex Stochastic Decentralized Optimization NeurIPS 2022 Revisit last-iterate convergence of mSGD under milder requirement on step size NeurIPS 2022 Reward-Free Policy Space Compression for Reinforcement Learning AISTATS 2022 RID-Noise: Towards Robust Inverse Design under Noisy Environments AAAI 2022 Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022 Risk-Averse No-Regret Learning in Online Convex Games ICML 2022 RKHS-SHAP: Shapley Values for Kernel Methods NeurIPS 2022 Robust and Accurate Superquadric Recovery: A Probabilistic Approach CVPR 2022 Robust computation of optimal transport by $β$-potential regularization ACML 2022 Robust Distributed Accelerated Stochastic Gradient Methods for Multi-Agent Networks JMLR 2022