🤖 Machine Learning - Handler4605 · Scour

Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training 🎯Embedding Models

Matrix-Decoupled Concentration for Autoregressive Sequences: Dimension-Free Guarantees for Sparse Long-Context Rewards 📏ANN Benchmarks

Pretrained Model Representations as Acquisition Signals for Active Learning of MLIPs 📊Conformal Prediction

Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML 🎯BM25

Order-based Rehearsal Learning 🎵Generative Music

Learning Discrete Autoregressive Priors with Wasserstein Gradient Flow 📊Conformal Prediction

Learning-based Statistical Refinement for Denoising 🌫️Noise Functions

Learning Dynamics of Zeroth-Order Optimization: A Kernel Perspective 🧮Constraint Solvers

Gradient Regularized Newton Boosting Trees with Global Convergence 🔍Vector Search Algorithms

From Code to Prediction: Fine-Tuning LLMs for Neural Network Performance Classification in NNGPT 🎯Embedding Models

Sequential Strategic Classification with Multi-Stage Selective Classifiers 💰Cost-Based Optimization

Learning in the Fisher Subspace: A Guided Initialization for LoRA Fine-Tuning 📊Conformal Prediction

Imbalanced Classification under Capacity Constraints 📉Embeddings Optimization

Projection-Free Transformers via Gaussian Kernel Attention 📉Embeddings Optimization

Constrained Extreme Gradient Boosting for Adapting Reduced-Order Models 🔍SPLADE

Quadrature-TreeSHAP: Depth-Independent TreeSHAP and Shapley Interactions 🌳B+ Trees

S^3-R1: Learning to Retrieve and Answer Step-by-Step with Synthetic Data 🔍Information Retrieval

Learning reveals invisible structure in low-rank RNNs 🔍SPLADE

Intrinsic effective sample size for manifold-valued Markov chain Monte Carlo via kernel discrepancy 📊Conformal Prediction

Fast and accurate conditioning for large-scale and online Gaussian process prediction problems 📊Conformal Prediction

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