Optimization

Subquadratic Kronecker Regression with Applications to Tensor Decomposition NeurIPS 2022 Super-Acceleration with Cyclical Step-sizes AISTATS 2022 Symmetry Teleportation for Accelerated Optimization NeurIPS 2022 Tensor Wheel Decomposition and Its Tensor Completion Application NeurIPS 2022 Text Style Transfer via Optimal Transport NAACL 2022 The Curse of Unrolling: Rate of Differentiating Through Optimization NeurIPS 2022 The First Optimal Algorithm for Smooth and Strongly-Convex-Strongly-Concave Minimax Optimization NeurIPS 2022 The Flag Median and FlagIRLS CVPR 2022 The power of first-order smooth optimization for black-box non-smooth problems ICML 2022 The Probabilistic Normal Epipolar Constraint for Frame-to-Frame Rotation Optimization Under Uncertain Feature Positions CVPR 2022 Towards Automated Discovery of God-Like Folk Algorithms for Rubik’s Cube AAAI 2022 TTOpt: A Maximum Volume Quantized Tensor Train-based Optimization and its Application to Reinforcement Learning NeurIPS 2022 Value Function based Difference-of-Convex Algorithm for Bilevel Hyperparameter Selection Problems ICML 2022 Wasserstein Logistic Regression with Mixed Features NeurIPS 2022 Zeroth-Order Negative Curvature Finding: Escaping Saddle Points without Gradients NeurIPS 2022 4D Cloud Scattering Tomography ICCV 2021 Accelerated Learning with Robustness to Adversarial Regressors L4DC 2021 Adaptive Extra-Gradient Methods for Min-Max Optimization and Games ICLR 2021 Additive Error Guarantees for Weighted Low Rank Approximation ICML 2021 Affine Invariant Analysis of Frank-Wolfe on Strongly Convex Sets ICML 2021 A Hypergradient Approach to Robust Regression without Correspondence ICLR 2021 A Kernel-Based Approach to Non-Stationary Reinforcement Learning in Metric Spaces AISTATS 2021 AligNarr: Aligning Narratives on Movies ACL 2021 A Lyapunov Analysis of Accelerated Methods in Optimization JMLR 2021 An Adaptive-MCMC Scheme for Setting Trajectory Lengths in Hamiltonian Monte Carlo AISTATS 2021