Mathematics & Optimization

StableMDS: A Novel Gradient Descent-Based Method for Stabilizing and Accelerating Weighted Multidimensional Scaling AISTATS 2025 Stacey: Promoting Stochastic Steepest Descent via Accelerated ℓ_p-Smooth Nonconvex Optimization ICML 2025 Standard Gaussian Process is All You Need for High-Dimensional Bayesian Optimization ICLR 2025 STAR: Synthesis of Tailored Architectures ICLR 2025 State-Compute Replication: Parallelizing High-Speed Stateful Packet Processing NSDI 2025 Statistical Advantages of Perturbing Cosine Router in Mixture of Experts ICLR 2025 Statistical and Computational Guarantees of Kernel Max-Sliced Wasserstein Distances ICML 2025 Statistical Collusion by Collectives on Learning Platforms ICML 2025 Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025 Statistical Inference of Random Graphs With a Surrogate Likelihood Function JMLR 2025 Statistical Learning of Distributionally Robust Stochastic Control in Continuous State Spaces AISTATS 2025 Statistical Query Hardness of Multiclass Linear Classification with Random Classification Noise ICML 2025 Statistical Test for Auto Feature Engineering by Selective Inference AISTATS 2025 Statistical Test for Feature Selection Pipelines by Selective Inference ICML 2025 Stein Boltzmann Sampling: A Variational Approach for Global Optimization AISTATS 2025 Stein Variational Evolution Strategies UAI 2025 Step and Smooth Decompositions as Topological Clustering JMLR 2025 STIMULUS: Achieving Fast Convergence and Low Sample Complexity in Stochastic Multi-Objective Learning UAI 2025 Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem AISTATS 2025 Stochastic block models with many communities and the Kesten–Stigum bound - extended abstract COLT 2025 Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees AISTATS 2025 Stochastic Gradient Descent for Bézier Simplex Representation of Pareto Set in Multi-Objective Optimization AISTATS 2025 Stochastic Gradient Estimation for Higher-Order Differentiable Rendering ICCV 2025 Stochastic Interior-Point Methods for Smooth Conic Optimization with Applications JMLR 2025 Stochastic Interpolants for Revealing Stylistic Flows across the History of Art ICCV 2025