Optimization

Parameter Inference with Bifurcation Diagrams NeurIPS 2021 Parameter Selection: Why We Should Pay More Attention to It ACL 2021 Parametrized Quantum Policies for Reinforcement Learning NeurIPS 2021 Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions ICML 2021 Pareto-Optimal Learning-Augmented Algorithms for Online Conversion Problems NeurIPS 2021 ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions NeurIPS 2021 Partial Is Better Than All: Revisiting Fine-tuning Strategy for Few-shot Learning AAAI 2021 Partially-Connected Differentiable Architecture Search for Deepfake and Spoofing Detection Interspeech 2021 Partial Policy Iteration for L1-Robust Markov Decision Processes JMLR 2021 Particle Dual Averaging: Optimization of Mean Field Neural Network with Global Convergence Rate Analysis NeurIPS 2021 Partition-Based Formulations for Mixed-Integer Optimization of Trained ReLU Neural Networks NeurIPS 2021 Partitioned Learned Bloom Filters ICLR 2021 Partition-Guided GANs CVPR 2021 Path Length Bounds for Gradient Descent and Flow JMLR 2021 PC-MLP: Model-based Reinforcement Learning with Policy Cover Guided Exploration ICML 2021 PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review JMLR 2021 Penalty Method for Inversion-Free Deep Bilevel Optimization ACML 2021 PenDer: Incorporating Shape Constraints via Penalized Derivatives AAAI 2021 Personalized Cross-Silo Federated Learning on Non-IID Data AAAI 2021 Perturbing Eigenvalues with Residual Learning in Graph Convolutional Neural Networks ACML 2021 Phasic Policy Gradient ICML 2021 PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data ICML 2021 Physarum Powered Differentiable Linear Programming Layers and Applications AAAI 2021 Physics-Aware Downsampling with Deep Learning for Scalable Flood Modeling NeurIPS 2021 Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science AAAI 2021