Optimization

Structured Policy Iteration for Linear Quadratic Regulator ICML 2020 Structured Prediction for Conditional Meta-Learning NeurIPS 2020 Structured Pruning of Large Language Models EMNLP 2020 Sub-linear Regret Bounds for Bayesian Optimisation in Unknown Search Spaces NeurIPS 2020 Super-efficiency of automatic differentiation for functions defined as a minimum ICML 2020 Support recovery and sup-norm convergence rates for sparse pivotal estimation AISTATS 2020 SVRG for Policy Evaluation with Fewer Gradient Evaluations IJCAI 2020 Synchronizing Probability Measures on Rotations via Optimal Transport CVPR 2020 Synthesize, Execute and Debug: Learning to Repair for Neural Program Synthesis NeurIPS 2020 System Identification with Biophysical Constraints: A Circuit Model of the Inner Retina NeurIPS 2020 Tackling the Objective Inconsistency Problem in Heterogeneous Federated Optimization NeurIPS 2020 Tandem Inference: An Out-of-Core Streaming Algorithm for Very Large-Scale Relational Inference AAAI 2020 Task-Robust Model-Agnostic Meta-Learning NeurIPS 2020 Taxonomy of Dual Block-Coordinate Ascent Methods for Discrete Energy Minimization AISTATS 2020 Taylor Expansion Policy Optimization ICML 2020 T-Basis: a Compact Representation for Neural Networks ICML 2020 Tchebycheff Procedure for Multi-task Text Classification ACL 2020 Temporal Interlacing Network AAAI 2020 Temporal Planning with Intermediate Conditions and Effects AAAI 2020 Temporal Pyramid Recurrent Neural Network AAAI 2020 Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks NeurIPS 2020 Tensor Train Decomposition on TensorFlow (T3F) JMLR 2020 Testing Configuration Changes in Context to Prevent Production Failures OSDI 2020 Tetra-Tagging: Word-Synchronous Parsing with Linear-Time Inference ACL 2020 TextNAS: A Neural Architecture Search Space Tailored for Text Representation AAAI 2020