Optimization

Follow the Perturbed Leader: Optimism and Fast Parallel Algorithms for Smooth Minimax Games NeurIPS 2020 Fractional Skipping: Towards Finer-Grained Dynamic CNN Inference AAAI 2020 Fractional Underdamped Langevin Dynamics: Retargeting SGD with Momentum under Heavy-Tailed Gradient Noise ICML 2020 FracTrain: Fractionally Squeezing Bit Savings Both Temporally and Spatially for Efficient DNN Training NeurIPS 2020 Frame-Level Signal-to-Noise Ratio Estimation Using Deep Learning Interspeech 2020 Frequency Modulation of Body Waves to Improve Performance of Limbless Robots RSS 2020 FroDO: From Detections to 3D Objects CVPR 2020 From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020 From Sets to Multisets: Provable Variational Inference for Probabilistic Integer Submodular Models ICML 2020 FrugalML: How to use ML Prediction APIs more accurately and cheaply NeurIPS 2020 Fully Decentralized Joint Learning of Personalized Models and Collaboration Graphs AISTATS 2020 Fully Parallel Hyperparameter Search: Reshaped Space-Filling ICML 2020 Fundamental Frequency Model for Postfiltering at Low Bitrates in a Transform-Domain Speech and Audio Codec Interspeech 2020 GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning JMLR 2020 Gated Convolutional Networks with Hybrid Connectivity for Image Classification AAAI 2020 Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing OSDI 2020 Gaussian Sum-Product Networks Learning in the Presence of Interval Censored Data PGM 2020 GCOMB: Learning Budget-constrained Combinatorial Algorithms over Billion-sized Graphs NeurIPS 2020 gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors CVPR 2020 Generalization Bound of Gradient Descent for Non-Convex Metric Learning NeurIPS 2020 Generalized and Scalable Optimal Sparse Decision Trees ICML 2020 Generalized Entropy Regularization or: There’s Nothing Special about Label Smoothing ACL 2020 Generalized Nonbacktracking Bounds on the Influence JMLR 2020 Generalized Optimal Matching Methods for Causal Inference JMLR 2020 Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations CVPR 2020