convex optimization

A Stochastic Newton Algorithm for Distributed Convex Optimization NeurIPS 2021 A Unified Analysis of First-Order Methods for Smooth Games via Integral Quadratic Constraints JMLR 2021 CANITA: Faster Rates for Distributed Convex Optimization with Communication Compression NeurIPS 2021 Certifying Incremental Quadratic Constraints for Neural Networks via Convex Optimization L4DC 2021 Cinematic-L1 Video Stabilization With a Log-Homography Model WACV 2021 Clustering Ensemble Meets Low-rank Tensor Approximation AAAI 2021 Conic Blackwell Algorithm: Parameter-Free Convex-Concave Saddle-Point Solving NeurIPS 2021 Constrained Risk-Averse Markov Decision Processes AAAI 2021 Context-dependent Networks in Multivariate Time Series: Models, Methods, and Risk Bounds in High Dimensions JMLR 2021 Contextual Recommendations and Low-Regret Cutting-Plane Algorithms NeurIPS 2021 Convex Geometry and Duality of Over-parameterized Neural Networks JMLR 2021 Convex Potential Flows: Universal Probability Distributions with Optimal Transport and Convex Optimization ICLR 2021 Convex Regularization behind Neural Reconstruction ICLR 2021 ConvexVST: A Convex Optimization Approach to Variance-stabilizing Transformation ICML 2021 Descent-to-Delete: Gradient-Based Methods for Machine Unlearning ALT 2021 Differentially Private Pairwise Learning Revisited IJCAI 2021 Differentiating the Value Function by using Convex Duality AISTATS 2021 Distributionally Robust Imitation Learning NeurIPS 2021 Dual Adaptivity: A Universal Algorithm for Minimizing the Adaptive Regret of Convex Functions NeurIPS 2021 Efficient Certification of Spatial Robustness AAAI 2021 Efficient Empowerment Estimation for Unsupervised Stabilization ICLR 2021 Enforcing robust control guarantees within neural network policies ICLR 2021 Enhancing Parameter-Free Frank Wolfe with an Extra Subproblem AAAI 2021 Fairness in Forecasting and Learning Linear Dynamical Systems AAAI 2021 Fast convergence of stochastic subgradient method under interpolation ICLR 2021