Mathematics & Optimization

Differential Privacy Guarantees of Markov Chain Monte Carlo Algorithms ICML 2025 Differential Privacy in Distributed Learning: Beyond Uniformly Bounded Stochastic Gradients AISTATS 2025 Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025 DiffIM: Differentiable Influence Minimization with Surrogate Modeling and Continuous Relaxation AAAI 2025 Diffusion-aware Censored Gaussian Processes for Demand Modelling IJCAI 2025 Diffusion Models as Constrained Samplers for Optimization with Unknown Constraints AISTATS 2025 DiffuSolve: Diffusion-based Solver for Non-convex Trajectory Optimization L4DC 2025 Dimension-Free Adaptive Subgradient Methods with Frequent Directions ICML 2025 Dimension Reduction for Symbolic Regression AAAI 2025 Dimension Reduction with Locally Adjusted Graphs AAAI 2025 DipLLM: Fine-Tuning LLM for Strategic Decision-making in Diplomacy ICML 2025 DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces AAAI 2025 DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction ICML 2025 Discontinuity-aware Normal Integration for Generic Central Camera Models ICCV 2025 Discovering Symmetries of ODEs by Symbolic Regression AAAI 2025 Discrepancy Minimization in Input-Sparsity Time ICML 2025 Discrete and Continuous Difference of Submodular Minimization ICML 2025 Disentangled Table-Graph Representation for Interpretable Transmission Line Fault Location AAAI 2025 Disentangling the Dual Role of NIC Receive Rings OSDI 2025 Dissecting Submission Limit in Desk-Rejections: A Mathematical Analysis of Fairness in AI Conference Policies ICML 2025 Distance Estimation for High-Dimensional Discrete Distributions AISTATS 2025 Distance Preservation Games IJCAI 2025 Distances Between Top-Truncated Elections of Different Sizes AAAI 2025 Distributed Event-Based Learning via ADMM ICML 2025 Distributed Nonparametric Estimation: from Sparse to Dense Samples per Terminal ICML 2025