optimization algorithm

HNO: High-Order Numerical Architecture for ODE-Inspired Deep Unfolding Networks AAAI 2022 I AM A.I. Gradient Descent – an Open-Source Digital Game for Inquiry-Based CLIL Learning AAAI 2022 On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method AAAI 2022 PDE-Based Optimal Strategy for Unconstrained Online Learning ICML 2022 Recent Advances and New Frontiers in Spiking Neural Networks IJCAI 2022 Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization NeurIPS 2022 Unrolling PALM for Sparse Semi-Blind Source Separation ICLR 2022 VectorAdam for Rotation Equivariant Geometry Optimization NeurIPS 2022 A Dynamical View on Optimization Algorithms of Overparameterized Neural Networks AISTATS 2021 Efficient greedy coordinate descent via variable partitioning UAI 2021 Fast Algorithms for L_∞-constrained S-rectangular Robust MDPs NeurIPS 2021 Generalized Shuffled Linear Regression ICCV 2021 Isometric Multi-Shape Matching CVPR 2021 Low-Rank Tensor Completion by Approximating the Tensor Average Rank ICCV 2021 Mirrorless Mirror Descent: A Natural Derivation of Mirror Descent AISTATS 2021 Only Train Once: A One-Shot Neural Network Training And Pruning Framework NeurIPS 2021 Overlapping Spaces for Compact Graph Representations NeurIPS 2021 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review JMLR 2021 Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021 Revisiting the Role of Euler Numerical Integration on Acceleration and Stability in Convex Optimization AISTATS 2021 Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging CVPR 2021 Smooth Convex Optimization Using Sub-Zeroth-Order Oracles AAAI 2021 An Effective Optimization Method for Neural Machine Translation: The Case of English-Persian Bilingually Low-Resource Scenario AACL 2020 Dinkelbach-Type Algorithm for Computing Quantal Stackelberg Equilibrium IJCAI 2020 Explaining Propagators for String Edit Distance Constraints AAAI 2020