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Optimization

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Papers

Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations ICML 2021 Predictive Job Scheduling under Uncertain Constraints in Cloud Computing IJCAI 2021 Preferential Temporal Difference Learning ICML 2021 Present-Biased Optimization AAAI 2021 Pre-training Context and Time Aware Location Embeddings from Spatial-Temporal Trajectories for User Next Location Prediction AAAI 2021 Preventing Overfitting via Sample Reweighting for Recommender System Incremental Update (Student Abstract) AAAI 2021 Primal-dual Learning for the Model-free Risk-constrained Linear Quadratic Regulator L4DC 2021 Principal Component Hierarchy for Sparse Quadratic Programs ICML 2021 Prioritized Architecture Sampling With Monto-Carlo Tree Search CVPR 2021 Prioritized Level Replay ICML 2021 Privacy Budget Scheduling OSDI 2021 Private Non-smooth ERM and SCO in Subquadratic Steps NeurIPS 2021 Private Stochastic Non-convex Optimization with Improved Utility Rates IJCAI 2021 Process-Level Representation of Scientific Protocols with Interactive Annotation EACL 2021 Product Quantizer Aware Inverted Index for Scalable Nearest Neighbor Search ICCV 2021 Programmatic Strategies for Real-Time Strategy Games AAAI 2021 Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation ICML 2021 Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement CVPR 2021 Projected GANs Converge Faster NeurIPS 2021 Projected Stochastic Gradient Langevin Algorithms for Constrained Sampling and Non-Convex Learning COLT 2021 Projection-free Online Learning in Dynamic Environments AAAI 2021 Projection-free Online Learning over Strongly Convex Sets AAAI 2021 Projection-Free Optimization on Uniformly Convex Sets AISTATS 2021 Projection Robust Wasserstein Barycenters ICML 2021 Provably Approximated Point Cloud Registration ICCV 2021