Optimization

OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection CVPR 2021 Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics ICML 2021 OpEvo: An Evolutionary Method for Tensor Operator Optimization AAAI 2021 Optimal Algorithms for Submodular Maximization with Distributed Constraints L4DC 2021 Optimal Best-Arm Identification Methods for Tail-Risk Measures NeurIPS 2021 Optimal Complexity in Decentralized Training ICML 2021 Optimal Cost Design for Model Predictive Control L4DC 2021 Optimal Counterfactual Explanations in Tree Ensembles ICML 2021 Optimal Feedback Law Recovery by Gradient-Augmented Sparse Polynomial Regression JMLR 2021 Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs CVPR 2021 Optimal Order Simple Regret for Gaussian Process Bandits NeurIPS 2021 Optimal query complexity for private sequential learning against eavesdropping AISTATS 2021 Optimal Rates for Random Order Online Optimization NeurIPS 2021 Optimal Rates of Distributed Regression with Imperfect Kernels JMLR 2021 Optimal Regularization can Mitigate Double Descent ICLR 2021 Optimal Sketching for Trace Estimation NeurIPS 2021 Optimal Transport for Deep Generative Models: State of the Art and Research Challenges IJCAI 2021 Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search ICML 2021 Optimising Automatic Calibration of Electric Muscle Stimulation AAAI 2021 Optimising Hearing Aid Fittings for Speech in Noise with a Differentiable Hearing Loss Model Interspeech 2021 Optimization of Graph Neural Networks: Implicit Acceleration by Skip Connections and More Depth ICML 2021 Optimization with Momentum: Dynamical, Control-Theoretic, and Symplectic Perspectives JMLR 2021 Optimized Score Transformation for Consistent Fair Classification JMLR 2021 Optimizing a Supervised Classifier for a Difficult Language Identification Problem EACL 2021 Optimizing Black-box Metrics with Iterative Example Weighting ICML 2021