Mathematics & Optimization

Generalized Laplacian Eigenmaps NeurIPS 2022 Generalized Leverage Scores: Geometric Interpretation and Applications ICML 2022 Generalized Sparse Additive Models JMLR 2022 Generalized Stochastic Matching AAAI 2022 Generalized Strategic Classification and the Case of Aligned Incentives ICML 2022 Generalizing Bayesian Optimization with Decision-theoretic Entropies NeurIPS 2022 Generalizing Gaussian Smoothing for Random Search ICML 2022 Generating Temporally-ordered Event Sequences via Event Optimal Transport COLING 2022 Generation of Synthetic Error Data of Verb Order Errors for Swedish NAACL 2022 Generative Modeling with Optimal Transport Maps ICLR 2022 Generic bounds on the approximation error for physics-informed (and) operator learning NeurIPS 2022 Geometry-Contrastive Transformer for Generalized 3D Pose Transfer AAAI 2022 Gerrymandering under Uncertain Preferences (Student Abstract) AAAI 2022 Gestures Are Used Rationally: Information Theoretic Evidence from Neural Sequential Models COLING 2022 GHAN: Graph-Based Hierarchical Aggregation Network for Text-Video Retrieval EMNLP 2022 Giga-scale Kernel Matrix-Vector Multiplication on GPU NeurIPS 2022 Givens Coordinate Descent Methods for Rotation Matrix Learning in Trainable Embedding Indexes ICLR 2022 Global Convergence and Stability of Stochastic Gradient Descent NeurIPS 2022 Global Convergence of Direct Policy Search for State-Feedback H_∞ Robust Control: A Revisit of Nonsmooth Synthesis with Goldstein Subdifferential NeurIPS 2022 Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression NeurIPS 2022 Globally Convergent Policy Search for Output Estimation NeurIPS 2022 Global Optimal K-Medoids Clustering of One Million Samples NeurIPS 2022 Global Optimization Networks ICML 2022 Global Optimization of K-Center Clustering ICML 2022 Global Riemannian Acceleration in Hyperbolic and Spherical Spaces ALT 2022