🤖 Machine Learning - Handler4605 · Scour

Linear Regression: Code (a) Line 📊Conformal Prediction

·5d·DEV

Distributional Principal Autoencoders 📉Embeddings Optimization

When Does $\ell_2$-Boosting Overfit Benignly? High-Dimensional Risk Asymptotics and the $\ell_1$ Implicit Bias 📊Conformal Prediction

lightonai/pylate: Late Interaction Models Training & Retrieval 🔍Information Retrieval

Stabilizing LLM Supervised Fine-Tuning via Explicit Distributional Control 📊Conformal Prediction

The Interplay of Data Structure and Imbalance in the Learning Dynamics of Diffusion Models 📉Embeddings Optimization

Region Seeding via Pre-Activation Regularization: A Geometric View from Piecewise Affine Nerual Networks 📉Embeddings Optimization

MinMax Recurrent Neural Cascades 🔍SPLADE

Information Theory and Statistical Learning 📊Conformal Prediction

Ratio-based Loss Functions 📊Conformal Prediction

Understanding Self-Supervised Learning via Latent Distribution Matching 📊Conformal Prediction

Sharper Guarantees for Misspecified Kernelized Bandit Optimization 📊Conformal Prediction

BOOOM: Loss-Function-Agnostic Black-Box Optimization over Orthonormal Manifolds for Machine Learning and Statistical Inference 🔍Vector Search Algorithms

LatentRAG: Latent Reasoning and Retrieval for Efficient Agentic RAG 🔍Information Retrieval

ITBoost: Information-Theoretic Trust for Robust Boosting 🔍Information Retrieval

Hedging Memory Horizons for Non-Stationary Prediction via Online Aggregation 📏ANN Benchmarks

Heterogeneous Ordinal Structure Learning with Bayesian Nonparametric Complexity Discovery 🎯BM25

Scaling Pretrained Representations Enables Label-Free Out-of-Distribution Detection Without Fine-Tuning 🔍SPLADE

Patch-Effect Graph Kernels for LLM Interpretability 🎯Embedding Models

Instance-Level Costs for Nuanced Classifier Evaluation 💰Cost-Based Optimization

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