Mathematics & Optimization

On the Convergence Rate of Off-Policy Policy Optimization Methods with Density-Ratio Correction AISTATS 2022 On the Convergence Theory for Hessian-Free Bilevel Algorithms NeurIPS 2022 On the Discrimination Risk of Mean Aggregation Feature Imputation in Graphs NeurIPS 2022 On the Effectiveness of Iterative Learning Control L4DC 2022 On the Effectiveness of Persistent Homology NeurIPS 2022 On the Efficiency of Entropic Regularized Algorithms for Optimal Transport JMLR 2022 On the Efficient Implementation of High Accuracy Optimality of Profile Maximum Likelihood NeurIPS 2022 On the equivalence of Oja’s algorithm and GROUSE AISTATS 2022 On the Finite-Time Complexity and Practical Computation of Approximate Stationarity Concepts of Lipschitz Functions ICML 2022 On-the-fly adaptation of patrolling strategies in changing environments UAI 2022 On the Impossibility of Learning to Cooperate with Adaptive Partner Strategies in Repeated Games ICML 2022 On the Initialization for Convex-Concave Min-max Problems ALT 2022 On the Instability of Relative Pose Estimation and RANSAC's Role CVPR 2022 On the Maximum Radius of Polynomial Lens Distortion WACV 2022 On The Memory Complexity of Uniformity Testing COLT 2022 On the Oracle Complexity of Higher-Order Smooth Non-Convex Finite-Sum Optimization AISTATS 2022 On the Ordinal Invariance of Power Indices on Coalitional Games IJCAI 2022 On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method AAAI 2022 On the rank of 2×2×2 probability tables PGM 2022 On the Role of Channel Capacity in Learning Gaussian Mixture Models COLT 2022 On the Sample Complexity of Stabilizing LTI Systems on a Single Trajectory NeurIPS 2022 On the SDEs and Scaling Rules for Adaptive Gradient Algorithms NeurIPS 2022 On the Theoretical Properties of Noise Correlation in Stochastic Optimization NeurIPS 2022 On the well-spread property and its relation to linear regression COLT 2022 On Transportation of Mini-batches: A Hierarchical Approach ICML 2022