Optimization

Second-Order Information in Non-Convex Stochastic Optimization: Power and Limitations COLT 2020 Second Order Optimality in Decentralized Non-Convex Optimization via Perturbed Gradient Tracking NeurIPS 2020 Second-Order Provable Defenses against Adversarial Attacks ICML 2020 Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds CVPR 2020 Self-Adaptively Learning to Demoiré from Focused and Defocused Image Pairs NeurIPS 2020 Self-Concordant Analysis of Frank-Wolfe Algorithms ICML 2020 Self-Guided Evolution Strategies with Historical Estimated Gradients IJCAI 2020 Semialgebraic Optimization for Lipschitz Constants of ReLU Networks NeurIPS 2020 Semi-bandit Optimization in the Dispersed Setting UAI 2020 Semismooth Newton Algorithm for Efficient Projections onto ℓ_1, ∞-norm Ball ICML 2020 Semi-Supervised Learning for Maximizing the Partial AUC AAAI 2020 Separating Particulate Matter From a Single Microscopic Image CVPR 2020 Sequential no-Substitution k-Median-Clustering AISTATS 2020 Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training CVPR 2020 SGD Learns One-Layer Networks in WGANs ICML 2020 SGD with shuffling: optimal rates without component convexity and large epoch requirements NeurIPS 2020 Sharp Analysis of Expectation-Maximization for Weakly Identifiable Models AISTATS 2020 Short and Sparse Deconvolution --- A Geometric Approach ICLR 2020 SIGMORPHON 2020 Task 0 System Description: ETH Zürich Team ACL 2020 Sign-OPT: A Query-Efficient Hard-label Adversarial Attack ICLR 2020 SIGUA: Forgetting May Make Learning with Noisy Labels More Robust ICML 2020 Similarity-and-Independence-Aware Beamformer: Method for Target Source Extraction Using Magnitude Spectrogram as Reference Interspeech 2020 Simple and sharp analysis of k-means|| ICML 2020 Simplifying Hamiltonian and Lagrangian Neural Networks via Explicit Constraints NeurIPS 2020 Simultaneous Arrival Matching for New Spatial Crowdsourcing Platforms IJCAI 2020