Optimization

Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems ICLR 2020 IPBoost – Non-Convex Boosting via Integer Programming ICML 2020 IPO: Interior-Point Policy Optimization under Constraints AAAI 2020 Is Local SGD Better than Minibatch SGD? ICML 2020 ISTA-NAS: Efficient and Consistent Neural Architecture Search by Sparse Coding NeurIPS 2020 Iterative Refinement in the Continuous Space for Non-Autoregressive Neural Machine Translation EMNLP 2020 Iterative Semi-parametric Dynamics Model Learning For Autonomous Racing CoRL 2020 JBNU at MRP 2020: AMR Parsing Using a Joint State Model for Graph-Sequence Iterative Inference CoNLL 2020 Joint Constrained Learning for Event-Event Relation Extraction EMNLP 2020 Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking CVPR 2020 Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models UAI 2020 Joint Texture and Geometry Optimization for RGB-D Reconstruction CVPR 2020 Just Pick a Sign: Optimizing Deep Multitask Models with Gradient Sign Dropout NeurIPS 2020 Kernel and Rich Regimes in Overparametrized Models COLT 2020 Kernelized Wasserstein Natural Gradient ICLR 2020 Kernel Methods Through the Roof: Handling Billions of Points Efficiently NeurIPS 2020 Kernels over Sets of Finite Sets using RKHS Embeddings, with Application to Bayesian (Combinatorial) Optimization AISTATS 2020 k-means++: few more steps yield constant approximation ICML 2020 Knowing The What But Not The Where in Bayesian Optimization ICML 2020 Knowledge-and-Data-Driven Amplitude Spectrum Prediction for Hierarchical Neural Vocoders Interspeech 2020 Krylov Subspace Method for Nonlinear Dynamical Systems with Random Noise JMLR 2020 k-SDPP: Fixed-Size Video Summarization via Sequential Determinantal Point Processes IJCAI 2020 Kvell+: Snapshot Isolation without Snapshots OSDI 2020 L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks CVPR 2020 Lagrangian Decomposition for Neural Network Verification UAI 2020