Continuous Optimization

Misspecified Phase Retrieval with Generative Priors NeurIPS 2022 MM-Align: Learning Optimal Transport-based Alignment Dynamics for Fast and Accurate Inference on Missing Modality Sequences EMNLP 2022 Modeling Dynamic Target Deformation in Camera Calibration WACV 2022 Modular Flows: Differential Molecular Generation NeurIPS 2022 More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees ICML 2022 More Powerful Conditional Selective Inference for Generalized Lasso by Parametric Programming JMLR 2022 Multi-agent Performative Prediction with Greedy Deployment and Consensus Seeking Agents NeurIPS 2022 Multi-block Min-max Bilevel Optimization with Applications in Multi-task Deep AUC Maximization NeurIPS 2022 Multilevel Optimization for Inverse Problems COLT 2022 Multi-objective Bayesian optimization over high-dimensional search spaces UAI 2022 Multi-Objective Deep Learning with Adaptive Reference Vectors NeurIPS 2022 Multi-Proxy Learning from an Entropy Optimization Perspective IJCAI 2022 Multi-View Mesh Reconstruction With Neural Deferred Shading CVPR 2022 Music-to-Dance Generation with Optimal Transport IJCAI 2022 Mutation-driven follow the regularized leader for last-iterate convergence in zero-sum games UAI 2022 Near Instance Optimal Model Selection for Pure Exploration Linear Bandits AISTATS 2022 Near-Isometric Properties of Kronecker-Structured Random Tensor Embeddings NeurIPS 2022 Nearly Tight Convergence Bounds for Semi-discrete Entropic Optimal Transport AISTATS 2022 Near-optimal Local Convergence of Alternating Gradient Descent-Ascent for Minimax Optimization AISTATS 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 Neural Piecewise-Constant Delay Differential Equations AAAI 2022 New Coresets for Projective Clustering and Applications AISTATS 2022 New Insights for the Multivariate Square-Root Lasso JMLR 2022 Noisy Riemannian Gradient Descent for Eigenvalue Computation with Application to Inexact Stochastic Recursive Gradient Algorithm ACML 2022