Mathematics & Optimization

Fast Stochastic Bregman Gradient Methods: Sharp Analysis and Variance Reduction ICML 2021 Fast Training Method for Stochastic Compositional Optimization Problems NeurIPS 2021 Fast Tucker Rank Reduction for Non-Negative Tensors Using Mean-Field Approximation NeurIPS 2021 Fast WordPiece Tokenization EMNLP 2021 FedDR – Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization NeurIPS 2021 Federated Composite Optimization ICML 2021 Federated Learning with Compression: Unified Analysis and Sharp Guarantees AISTATS 2021 Federated Linear Contextual Bandits NeurIPS 2021 Federated Multi-armed Bandits with Personalization AISTATS 2021 Fenchel-Young Losses with Skewed Entropies for Class-posterior Probability Estimation AISTATS 2021 Few-Shot Data-Driven Algorithms for Low Rank Approximation NeurIPS 2021 FFT-OT: A Fast Algorithm for Optimal Transportation ICCV 2021 Field Convolutions for Surface CNNs ICCV 2021 Field of Junctions: Extracting Boundary Structure at Low SNR ICCV 2021 Finding and Certifying (Near-)Optimal Strategies in Black-Box Extensive-Form Games AAAI 2021 Finding Bipartite Components in Hypergraphs NeurIPS 2021 Finding Diverse Trees, Paths, and More AAAI 2021 Finding First-Order Nash Equilibria of Zero-Sum Games with the Regularized Nikaido-Isoda Function AISTATS 2021 Finding Relevant Information via a Discrete Fourier Expansion ICML 2021 Finding the Hardest Formulas for Resolution (Extended Abstract) IJCAI 2021 Finite-state Model of Shupamem Reduplication ACL 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 Fixed-Parameter and Approximation Algorithms for PCA with Outliers ICML 2021 Flexible Signal Denoising via Flexible Empirical Bayes Shrinkage JMLR 2021