Mathematics & Optimization

Differentiable Display Photometric Stereo CVPR 2024 Differentiable Distributionally Robust Optimization Layers ICML 2024 Differentiable Information Bottleneck for Deterministic Multi-view Clustering CVPR 2024 Differentiable Quantum Computing for Large-scale Linear Control NeurIPS 2024 Differentiable Structure Learning with Partial Orders NeurIPS 2024 Differentially Private Decentralized Learning with Random Walks ICML 2024 Differentially Private Domain Adaptation with Theoretical Guarantees ICML 2024 Differentially Private Equivalence Testing for Continuous Distributions and Applications NeurIPS 2024 Differentially private exact recovery for stochastic block models ICML 2024 Differentially Private Graph Diffusion with Applications in Personalized PageRanks NeurIPS 2024 Differentially Private Optimization with Sparse Gradients NeurIPS 2024 Differentially Private Post-Processing for Fair Regression ICML 2024 Differentially Private Set Representations NeurIPS 2024 Differentially Private Topological Data Analysis JMLR 2024 Differentially Private Worst-group Risk Minimization ICML 2024 DiffRed: Dimensionality reduction guided by stable rank AISTATS 2024 Diffusion-ES: Gradient-free Planning with Diffusion for Autonomous and Instruction-guided Driving CVPR 2024 Diffusion Tempering Improves Parameter Estimation with Probabilistic Integrators for Ordinary Differential Equations ICML 2024 Dimension-free Private Mean Estimation for Anisotropic Distributions NeurIPS 2024 Dimension-free Structured Covariance Estimation COLT 2024 Directional Optimism for Safe Linear Bandits AISTATS 2024 Directional Smoothness and Gradient Methods: Convergence and Adaptivity NeurIPS 2024 Discounted Adaptive Online Learning: Towards Better Regularization ICML 2024 Discovering Sparsity Allocation for Layer-wise Pruning of Large Language Models NeurIPS 2024 Discretely beyond $1/e$: Guided Combinatorial Algortihms for Submodular Maximization NeurIPS 2024