⛰️ Gradient Descent - pfh · Scour

Fast Amortized Fitting of Scientific Signals Across Time and Ensembles via Transferable Neural Fields 🗺️Manifold Learning

SGD at the Edge of Stability: The Stochastic Sharpness Gap 📊Empirical Bayes

Prototype-Based Test-Time Adaptation of Vision-Language Models 🔢Embeddings

CVaR-Assisted Custom Penalty Function for Constrained Optimization 🎪Convex Optimization

EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization 📊Empirical Bayes

HiPO: Hierarchical Preference Optimization for Adaptive Reasoning in LLMs 🔗Markov Chains

Convergence Rates for Non-Log-Concave Sampling and Log-Partition Estimation 📊Empirical Bayes

Robust Uniform Recovery of Structured Signals from Nonlinear Observations 🎪Convex Optimization

Revisiting Bayesian Variable Selection via Optimization 📊Empirical Bayes

Sharp recovery and landscape guarantees for the nonconvex matrix LASSO 🎪Convex Optimization

HARBOR: Automated Harness Optimization 📐Computational Geometry

On the convergence of an adaptive denoiser driven iterative regularization with early stopping 📊Empirical Bayes

Teacher-Guided Routing for Sparse Vision Mixture-of-Experts 🗺️Manifold Learning

Hessian-vector products for tensor networks via recursive tangent-state propagation 🗺️Manifold Learning

Distributed Generative Inference of LLM at Internet Scales with Multi-Dimensional Communication Optimization 🔲Zarr

On the Stability and Generalization of First-order Bilevel Minimax Optimization 🎪Convex Optimization

OptiVerse: A Comprehensive Benchmark towards Optimization Problem Solving 📐Computational Geometry

Adaptive multi-fidelity optimization with fast learning rates 🎪Convex Optimization

ImageHD: Energy-Efficient On-Device Continual Learning of Visual Representations via Hyperdimensional Computing 🗺️UMAP

Towards Understanding the Robustness of Sparse Autoencoders 🗺️Manifold Learning

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