Continuous Optimization

Mixed variable Bayesian optimization with frequency modulated kernels UAI 2021 Modality-Agnostic Topology Aware Localization NeurIPS 2021 Modified Frank Wolfe in Probability Space NeurIPS 2021 Momentum Improves Optimization on Riemannian Manifolds AISTATS 2021 MongeNet: Efficient Sampler for Geometric Deep Learning CVPR 2021 Moreau-Yosida f-divergences ICML 2021 Most: multi-source domain adaptation via optimal transport for student-teacher learning UAI 2021 Multi-Channel Opus Compression for Far-Field Automatic Speech Recognition with a Fixed Bitrate Budget Interspeech 2021 Multidimensional Scaling: Approximation and Complexity ICML 2021 Multi-Scale Games: Representing and Solving Games on Networks with Group Structure AAAI 2021 Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance CVPR 2021 Multiwavelet-based Operator Learning for Differential Equations NeurIPS 2021 NAS-Bench-x11 and the Power of Learning Curves NeurIPS 2021 NCUEE-NLP at MEDIQA 2021: Health Question Summarization Using PEGASUS Transformers NAACL 2021 Near-Optimal Lower Bounds For Convex Optimization For All Orders of Smoothness NeurIPS 2021 Newton-LESS: Sparsification without Trade-offs for the Sketched Newton Update NeurIPS 2021 Noisy Gradient Descent Converges to Flat Minima for Nonconvex Matrix Factorization AISTATS 2021 Non-asymptotic convergence bounds for Wasserstein approximation using point clouds NeurIPS 2021 Non-convex Distributionally Robust Optimization: Non-asymptotic Analysis NeurIPS 2021 Nonparametric Continuous Sensor Registration JMLR 2021 Non-parametric Quantile Regression via the K-NN Fused Lasso JMLR 2021 Non-PSD matrix sketching with applications to regression and optimization UAI 2021 Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance CVPR 2021 Oblivious Sketching-based Central Path Method for Linear Programming ICML 2021 Oblivious Sketching for Logistic Regression ICML 2021