Optimization

Ansor: Generating High-Performance Tensor Programs for Deep Learning OSDI 2020 AntMan: Dynamic Scaling on GPU Clusters for Deep Learning OSDI 2020 AOWS: Adaptive and Optimal Network Width Search With Latency Constraints CVPR 2020 AP-Perf: Incorporating Generic Performance Metrics in Differentiable Learning AISTATS 2020 Approximate Cross-validation: Guarantees for Model Assessment and Selection AISTATS 2020 Approximate Heavily-Constrained Learning with Lagrange Multiplier Models NeurIPS 2020 Approximating shapes in images with low-complexity polygons CVPR 2020 Approximation Guarantees of Local Search Algorithms via Localizability of Set Functions ICML 2020 Approximation Schemes for ReLU Regression COLT 2020 A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace UAI 2020 A Primal-Dual Solver for Large-Scale Tracking-by-Assignment AISTATS 2020 A Quantum Computational Approach to Correspondence Problems on Point Sets CVPR 2020 A Rule for Gradient Estimator Selection, with an Application to Variational Inference AISTATS 2020 A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees NeurIPS 2020 A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration NeurIPS 2020 A Simple and Efficient Tensor Calculus AAAI 2020 A simple normative network approximates local non-Hebbian learning in the cortex NeurIPS 2020 A simpler approach to accelerated optimization: iterative averaging meets optimism ICML 2020 A Single-Loop Smoothed Gradient Descent-Ascent Algorithm for Nonconvex-Concave Min-Max Problems NeurIPS 2020 Asking the Right Questions to the Right Users: Active Learning with Imperfect Oracles AAAI 2020 A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems JMLR 2020 A Spectral Energy Distance for Parallel Speech Synthesis NeurIPS 2020 A Spectral Method for Unsupervised Multi-Document Summarization EMNLP 2020 A State Aggregation Approach for Solving Knapsack Problem with Deep Reinforcement Learning ACML 2020 Asteroid: The PyTorch-Based Audio Source Separation Toolkit for Researchers Interspeech 2020