Mathematics & Optimization

Parallel tempering on optimized paths ICML 2021 Parameter-free Locally Accelerated Conditional Gradients ICML 2021 Parameter-Free Multi-Armed Bandit Algorithms with Hybrid Data-Dependent Regret Bounds COLT 2021 Parameter Inference with Bifurcation Diagrams NeurIPS 2021 Parameterized Algorithms for MILPs with Small Treedepth AAAI 2021 Parameterized Complexity of Logic-Based Argumentation in Schaefer's Framework AAAI 2021 Parameterizing Branch-and-Bound Search Trees to Learn Branching Policies AAAI 2021 Parametric Complexity Bounds for Approximating PDEs with Neural Networks NeurIPS 2021 Parametric Distributions to Model Numerical Emotion Labels Interspeech 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 Pareto Optimization for Subset Selection with Dynamic Partition Matroid Constraints AAAI 2021 Pareto Self-Supervised Training for Few-Shot Learning CVPR 2021 ParK: Sound and Efficient Kernel Ridge Regression by Feature Space Partitions NeurIPS 2021 Participatory Budgeting with Project Groups IJCAI 2021 Partition and Code: learning how to compress graphs NeurIPS 2021 Partition Function Estimation: A Quantitative Study IJCAI 2021 Passive learning of Timed Automata from logs (Student Abstract) AAAI 2021 PatchmatchNet: Learned Multi-View Patchmatch Stereo CVPR 2021 Path Length Bounds for Gradient Descent and Flow JMLR 2021 PCA Initialization for Approximate Message Passing in Rotationally Invariant Models NeurIPS 2021 PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols NAACL 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