Convex Optimization

First-Order Algorithms for Min-Max Optimization in Geodesic Metric Spaces NeurIPS 2022 First-Order Convex Fitting and Its Application to Economics and Optimization AAAI 2022 Functional Output Regression with Infimal Convolution: Exploring the Huber and $ε$-insensitive Losses ICML 2022 Handling Hard Affine SDP Shape Constraints in RKHSs JMLR 2022 Joint Inference of Multiple Graphs from Matrix Polynomials JMLR 2022 Lifted Primal-Dual Method for Bilinearly Coupled Smooth Minimax Optimization AISTATS 2022 Mirror Descent Strikes Again: Optimal Stochastic Convex Optimization under Infinite Noise Variance COLT 2022 NaturalInversion: Data-Free Image Synthesis Improving Real-World Consistency AAAI 2022 Negative curvature obstructs acceleration for strongly geodesically convex optimization, even with exact first-order oracles COLT 2022 Nesterov Accelerated Shuffling Gradient Method for Convex Optimization ICML 2022 NysADMM: faster composite convex optimization via low-rank approximation ICML 2022 On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022 One Gradient Frank-Wolfe for Decentralized Online Convex and Submodular Optimization ACML 2022 On Low-rank Trace Regression under General Sampling Distribution JMLR 2022 On Regularized Square-root Regression Problems: Distributionally Robust Interpretation and Fast Computations JMLR 2022 On the Practical Robustness of the Nesterov’s Accelerated Quasi-Newton Method AAAI 2022 Open Problem: Running time complexity of accelerated ℓ_1-regularized PageRank COLT 2022 Optimal and Adaptive Monteiro-Svaiter Acceleration NeurIPS 2022 Optimal Anonymous Independent Reward Scheme Design IJCAI 2022 Optimal Dynamic Regret in Proper Online Learning with Strongly Convex Losses and Beyond AISTATS 2022 Optimal transport with f-divergence regularization and generalized Sinkhorn algorithm AISTATS 2022 Optimization for Classical Machine Learning Problems on the GPU AAAI 2022 Pairwise Conditional Gradients without Swap Steps and Sparser Kernel Herding ICML 2022 p-Generalized Probit Regression and Scalable Maximum Likelihood Estimation via Sketching and Coresets AISTATS 2022 Private Convex Optimization via Exponential Mechanism COLT 2022