Optimization

Feature Clustering for Support Identification in Extreme Regions ICML 2021 Feature Importance-Aware Transferable Adversarial Attacks ICCV 2021 Federated Composite Optimization ICML 2021 Federated Learning Based on Dynamic Regularization ICLR 2021 Federated Learning under Arbitrary Communication Patterns ICML 2021 Federated Learning with Fair Averaging IJCAI 2021 Federated Learning with Sparsification-Amplified Privacy and Adaptive Optimization IJCAI 2021 Finding k in Latent $k-$ polytope ICML 2021 Finite-Sample Regret Bound for Distributionally Robust Offline Tabular Reinforcement Learning AISTATS 2021 Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021 First-order Convergence Theory for Weakly-Convex-Weakly-Concave Min-max Problems JMLR 2021 First-Order Methods for Wasserstein Distributionally Robust MDP ICML 2021 Fitting the Search Space of Weight-sharing NAS with Graph Convolutional Networks AAAI 2021 Flattening Sharpness for Dynamic Gradient Projection Memory Benefits Continual Learning NeurIPS 2021 Flightplan: Dataplane Disaggregation and Placement for P4 Programs NSDI 2021 Forced Variational Integrator Networks for Prediction and Control of Mechanical Systems L4DC 2021 Formalizing the Generalization-Forgetting Trade-off in Continual Learning NeurIPS 2021 Fractional Matchings under Preferences: Stability and Optimality IJCAI 2021 Framing RNN as a kernel method: A neural ODE approach NeurIPS 2021 Frank-Wolfe with a Nearest Extreme Point Oracle COLT 2021 From Fourier to Koopman: Spectral Methods for Long-term Time Series Prediction JMLR 2021 From Low Probability to High Confidence in Stochastic Convex Optimization JMLR 2021 Frugal Optimization for Cost-related Hyperparameters AAAI 2021 Fundamental Tradeoffs in Distributionally Adversarial Training ICML 2021 FVC: A New Framework Towards Deep Video Compression in Feature Space CVPR 2021