Optimization

Sparse Extreme Multi-label Learning with Oracle Property ICML 2019 SparseFool: A Few Pixels Make a Big Difference CVPR 2019 SpArSe: Sparse Architecture Search for CNNs on Resource-Constrained Microcontrollers NeurIPS 2019 Sparse Variational Inference: Bayesian Coresets from Scratch NeurIPS 2019 Spectral Approximate Inference ICML 2019 Spectral Inference Networks: Unifying Deep and Spectral Learning ICLR 2019 Spectral Reconstruction From Dispersive Blur: A Novel Light Efficient Spectral Imager CVPR 2019 Spectral Regularization for Combating Mode Collapse in GANs ICCV 2019 Speculative Beam Search for Simultaneous Translation EMNLP 2019 Sphere Generative Adversarial Network Based on Geometric Moment Matching CVPR 2019 Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on N-Spheres CVPR 2019 SpiderBoost and Momentum: Faster Variance Reduction Algorithms NeurIPS 2019 Spreading vectors for similarity search ICLR 2019 Spurious Valleys in One-hidden-layer Neural Network Optimization Landscapes JMLR 2019 SSN: Learning Sparse Switchable Normalization via SparsestMax CVPR 2019 SSRGD: Simple Stochastic Recursive Gradient Descent for Escaping Saddle Points NeurIPS 2019 Stabilized SVRG: Simple Variance Reduction for Nonconvex Optimization COLT 2019 Stagewise Training Accelerates Convergence of Testing Error Over SGD NeurIPS 2019 StartNet: Online Detection of Action Start in Untrimmed Videos ICCV 2019 Steady-State Policy Synthesis for Verifiable Control IJCAI 2019 Stochastic algorithms with descent guarantees for ICA AISTATS 2019 Stochastic Approximation of Smooth and Strongly Convex Functions: Beyond the $O(1/T)$ Convergence Rate COLT 2019 Stochastic Continuous Greedy ++: When Upper and Lower Bounds Match NeurIPS 2019 Stochastic Exposure Coding for Handling Multi-ToF-Camera Interference ICCV 2019 Stochastic first-order methods: non-asymptotic and computer-aided analyses via potential functions COLT 2019