Mathematics & Optimization

Variance Matters: Detecting Semantic Differences without Corpus/Word Alignment EMNLP 2023 Variance-Reduced Gradient Estimation via Noise-Reuse in Online Evolution Strategies NeurIPS 2023 Variance Reduced Online Gradient Descent for Kernelized Pairwise Learning with Limited Memory ACML 2023 Variational Annealing on Graphs for Combinatorial Optimization NeurIPS 2023 Variational Autoencoding Neural Operators ICML 2023 Variational Inference with Gaussian Score Matching NeurIPS 2023 Variational Wasserstein Barycenters with C-cyclical Monotonicity Regularization AAAI 2023 Variational Weighting for Kernel Density Ratios NeurIPS 2023 VCG Mechanism Design with Unknown Agent Values under Stochastic Bandit Feedback JMLR 2023 Vector Optimization with Stochastic Bandit Feedback AISTATS 2023 Vector-Valued Control Variates ICML 2023 Vesselformer: Towards Complete 3D Vessel Graph Generation from Images MIDL 2023 Viewing Graph Solvability in Practice ICCV 2023 VISinger2: High-Fidelity End-to-End Singing Voice Synthesis Enhanced by Digital Signal Processing Synthesizer Interspeech 2023 Vote’n’Rank: Revision of Benchmarking with Social Choice Theory EACL 2023 Voting with Preference Intensities AAAI 2023 Walkability Optimization: Formulations, Algorithms, and a Case Study of Toronto AAAI 2023 Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping AAAI 2023 Wasserstein Distributional Learning via Majorization-Minimization AISTATS 2023 Wasserstein Distributionally Robust Linear-Quadratic Estimation under Martingale Constraints AISTATS 2023 Wasserstein distributional robustness of neural networks NeurIPS 2023 Wasserstein-Fisher-Rao Embedding: Logical Query Embeddings with Local Comparison and Global Transport ACL 2023 Wasserstein Gradient Flows for Optimizing Gaussian Mixture Policies NeurIPS 2023 Wasserstein Graph Distance Based on L1–Approximated Tree Edit Distance between Weisfeiler–Lehman Subtrees AAAI 2023 Weak Recovery Threshold for the Hypergraph Stochastic Block Model COLT 2023