Optimization

Towards Hardware-Aware Tractable Learning of Probabilistic Models NeurIPS 2019 Towards modular and programmable architecture search NeurIPS 2019 Towards Optimal Discrete Online Hashing with Balanced Similarity AAAI 2019 Towards Practical Alternating Least-Squares for CCA NeurIPS 2019 Towards Programming the Radio Environment with Large Arrays of Inexpensive Antennas NSDI 2019 Towards Robust, Locally Linear Deep Networks ICLR 2019 Towards the Data-driven System for Rhetorical Parsing of Russian Texts NAACL 2019 Toward Understanding the Impact of Staleness in Distributed Machine Learning ICLR 2019 Toward Understanding the Importance of Noise in Training Neural Networks ICML 2019 Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization ICML 2019 Trainable Decoding of Sets of Sequences for Neural Sequence Models ICML 2019 Train and Test Tightness of LP Relaxations in Structured Prediction JMLR 2019 Training Deep Learning Based Image Denoisers From Undersampled Measurements Without Ground Truth and Without Image Prior CVPR 2019 Training for Faster Adversarial Robustness Verification via Inducing ReLU Stability ICLR 2019 Trajectory Optimization for Cable-Driven Soft Robot Locomotion RSS 2019 Trajectory-wise Control Variates for Variance Reduction in Policy Gradient Methods CoRL 2019 Transport Analysis of Infinitely Deep Neural Network JMLR 2019 Trend-Aware Tensor Factorization for Job Skill Demand Analysis IJCAI 2019 Trimming the ℓ_1 Regularizer: Statistical Analysis, Optimization, and Applications to Deep Learning ICML 2019 Trivializations for Gradient-Based Optimization on Manifolds NeurIPS 2019 Truncated Back-propagation for Bilevel Optimization AISTATS 2019 Trust Region Based Adversarial Attack on Neural Networks CVPR 2019 Trust Region Evolution Strategies AAAI 2019 Tunability: Importance of Hyperparameters of Machine Learning Algorithms JMLR 2019 Two-Layer Feature Reduction for Sparse-Group Lasso via Decomposition of Convex Sets JMLR 2019