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Stochastic Methods

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Papers

Differential Private Stochastic Optimization with Heavy-tailed Data: Towards Optimal Rates AAAI 2025 Do Stochastic, Feel Noiseless: Stable Stochastic Optimization via a Double Momentum Mechanism ICLR 2025 Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent AAAI 2025 EVOS: Efficient Implicit Neural Training via EVOlutionary Selector CVPR 2025 Exploring Hybrid Sampling Inference for Aspect-based Sentiment Analysis NAACL 2025 Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size ACML 2025 Faster Double Adaptive Gradient Methods AAAI 2025 Flow Matching Ergodic Coverage RSS 2025 Forecasting Competitions with Correlated Events AAAI 2025 From Gradient Clipping to Normalization for Heavy Tailed SGD AISTATS 2025 Geodesic Slice Sampling on the Sphere JMLR 2025 Gradient descent with generalized Newton’s method ICLR 2025 High-probability Convergence Bounds for Online Nonlinear Stochastic Gradient Descent under Heavy-tailed Noise AISTATS 2025 Implicit Diffusion: Efficient optimization through stochastic sampling AISTATS 2025 Improving Stochastic Cubic Newton with Momentum AISTATS 2025 Increasing Batch Size Improves Convergence of Stochastic Gradient Descent with Momentum ACML 2025 In-Domain African Languages Translation Using LLMs and Multi-armed Bandits ACL 2025 Learning to Sample in Stochastic Optimization UAI 2025 Locally Optimal Descent for Dynamic Stepsize Scheduling AISTATS 2025 MAST: model-agnostic sparsified training ICLR 2025 MindFlayer SGD: Efficient Parallel SGD in the Presence of Heterogeneous and Random Worker Compute Times UAI 2025 Monte Carlo Temperature: a robust sampling strategy for LLM’s uncertainty quantification methods NAACL 2025 MUZO: Leveraging Multiple Queries and Momentum for Zeroth-Order Fine-Tuning of Large Language Models EMNLP 2025 Neural Continuous-Time Supermartingale Certificates AAAI 2025 Nonasymptotic Analysis of Stochastic Gradient Descent with the Richardson–Romberg Extrapolation ICLR 2025