Optimization

A Stochastic Derivative-Free Optimization Method with Importance Sampling: Theory and Learning to Control AAAI 2020 A Stochastic Derivative Free Optimization Method with Momentum ICLR 2020 A Study on Encodings for Neural Architecture Search NeurIPS 2020 A Swiss Army Knife for Minimax Optimal Transport ICML 2020 AsyncQVI: Asynchronous-Parallel Q-Value Iteration for Discounted Markov Decision Processes with Near-Optimal Sample Complexity AISTATS 2020 A Tensor Compiler for Unified Machine Learning Prediction Serving OSDI 2020 A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games AISTATS 2020 A Tight Convergence Analysis for Stochastic Gradient Descent with Delayed Updates ALT 2020 A Two-level Reinforcement Learning Algorithm for Ambiguous Mean-variance Portfolio Selection Problem IJCAI 2020 AUC Optimization with a Reject Option AAAI 2020 Audio Dequantization for High Fidelity Audio Generation in Flow-Based Neural Vocoder Interspeech 2020 Augmenting Genetic Algorithms with Deep Neural Networks for Exploring the Chemical Space ICLR 2020 Augment Your Batch: Improving Generalization Through Instance Repetition CVPR 2020 A Unified Analysis of Extra-gradient and Optimistic Gradient Methods for Saddle Point Problems: Proximal Point Approach AISTATS 2020 A Unified Optimization Framework for Low-Rank Inducing Penalties CVPR 2020 A Unified q-Memorization Framework for Asynchronous Stochastic Optimization JMLR 2020 A Unified Stochastic Gradient Approach to Designing Bayesian-Optimal Experiments AISTATS 2020 A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent AISTATS 2020 A Unifying View of Optimism in Episodic Reinforcement Learning NeurIPS 2020 A Unifying View on Individual Bounds and Heuristic Inaccuracies in Bidirectional Search AAAI 2020 Autoencoder Bottleneck Features with Multi-Task Optimisation for Improved Continuous Dysarthric Speech Recognition Interspeech 2020 Autoencoders that don't overfit towards the Identity NeurIPS 2020 Autofocused oracles for model-based design NeurIPS 2020 Auto Learning Attention NeurIPS 2020 Automatically Learning Compact Quality-aware Surrogates for Optimization Problems NeurIPS 2020