Optimization

Vector Transport Free Riemannian LBFGS for Optimization on Symmetric Positive Definite Matrix Manifolds ACML 2021 Versatile Verification of Tree Ensembles ICML 2021 Vis2Mesh: Efficient Mesh Reconstruction From Unstructured Point Clouds of Large Scenes With Learned Virtual View Visibility ICCV 2021 VQ-GNN: A Universal Framework to Scale up Graph Neural Networks using Vector Quantization NeurIPS 2021 vqSGD: Vector Quantized Stochastic Gradient Descent AISTATS 2021 Warm Starting CMA-ES for Hyperparameter Optimization AAAI 2021 Wasserstein-2 Generative Networks ICLR 2021 Wasserstein Barycenter for Multi-Source Domain Adaptation CVPR 2021 Wasserstein barycenters can be computed in polynomial time in fixed dimension JMLR 2021 Wasserstein Distributionally Robust Inverse Multiobjective Optimization AAAI 2021 Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data ICML 2021 Wasserstein Embedding for Graph Learning ICLR 2021 Well-tuned Simple Nets Excel on Tabular Datasets NeurIPS 2021 WGAN with an Infinitely Wide Generator Has No Spurious Stationary Points ICML 2021 When All We Need is a Piece of the Pie: A Generic Framework for Optimizing Two-way Partial AUC ICML 2021 When does gradient descent with logistic loss interpolate using deep networks with smoothed ReLU activations? COLT 2021 When does preconditioning help or hurt generalization? ICLR 2021 When OT meets MoM: Robust estimation of Wasserstein Distance AISTATS 2021 Whitening and Second Order Optimization Both Make Information in the Dataset Unusable During Training, and Can Reduce or Prevent Generalization ICML 2021 Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? ICCV 2021 Why resampling outperforms reweighting for correcting sampling bias with stochastic gradients ICLR 2021 Width-Based Algorithms for Common Problems in Control, Planning and Reinforcement Learning IJCAI 2021 With Measured Words: Simple Sentence Selection for Black-Box Optimization of Sentence Compression Algorithms EACL 2021 XOR-CD: Linearly Convergent Constrained Structure Generation ICML 2021 XOR-SGD: provable convex stochastic optimization for decision-making under uncertainty UAI 2021