Stat-Ml
Bayesian Model Averaging Using the k-best Bayesian Network Structures
Variance-Based Rewards for Approximate Bayesian Reinforcement Learning
Non-Convex Rank Minimization via an Empirical Bayesian Approach
ConformalHDC: Uncertainty-Aware Hyperdimensional Computing with Application to Neural Decoding
Flow Matching is Adaptive to Manifold Structures
Is Multi-Distribution Learning as Easy as PAC Learning: Sharp Rates with Bounded Label Noise
Further Optimal Regret Bounds for Thompson Sampling
Learning with Scope, with Application to Information Extraction and Classification
Learning Module Networks
Latent Dirichlet Allocation Uncovers Spectral Characteristics of Drought Stressed Plants
Mining Permission Request Patterns from Android and Facebook Applications (extended author version)
Incremental Model-based Learners With Formal Learning-Time Guarantees
Comparison-Based Learning with Rank Nets
Consensus ranking under the exponential model
A Permutation Approach to Testing Interactions in Many Dimensions
A Topic Model for Melodic Sequences
Performance Tuning Of J48 Algorithm For Prediction Of Soil Fertility
A Bayesian Approach toward Active Learning for Collaborative Filtering
A Hybrid Algorithm for Convex Semidefinite Optimization
A Slice Sampler for Restricted Hierarchical Beta Process with Applications to Shared Subspace Learning
A submodular-supermodular procedure with applications to discriminative structure learning
Accelerated Time-of-Flight Mass Spectrometry
