conftrace_
← Learning Types
Machine Learning › Learning Types ›

Active Learning

1,911 papers

Papers per year

4
20
39
156
120
'05
'10
'15
'20
'25

Papers

Adaptive Experiment Design with Synthetic Controls AISTATS 2024
Efficiently Computable Safety Bounds for Gaussian Processes in Active Learning AISTATS 2024
Online Calibrated and Conformal Prediction Improves Bayesian Optimization AISTATS 2024
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity AISTATS 2024
Smoothness-Adaptive Dynamic Pricing with Nonparametric Demand Learning AISTATS 2024
Optimal Exploration is no harder than Thompson Sampling AISTATS 2024
Learning Populations of Preferences via Pairwise Comparison Queries AISTATS 2024
Multi-Resolution Active Learning of Fourier Neural Operators AISTATS 2024
Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024
Bayesian Online Learning for Consensus Prediction AISTATS 2024
Near-Optimal Pure Exploration in Matrix Games: A Generalization of Stochastic Bandits & Dueling Bandits AISTATS 2024
Online Learning of Decision Trees with Thompson Sampling AISTATS 2024
A Greedy Approximation for k-Determinantal Point Processes AISTATS 2024
Learning the Pareto Set Under Incomplete Preferences: Pure Exploration in Vector Bandits AISTATS 2024
Learning Fair Division from Bandit Feedback AISTATS 2024
ALAS: Active Learning for Autoconversion Rates Prediction from Satellite Data AISTATS 2024
Adaptive importance sampling for heavy-tailed distributions via $α$-divergence minimization AISTATS 2024
Efficient Variational Sequential Information Control AISTATS 2024
Contextual Bandits with Budgeted Information Reveal AISTATS 2024
Faster Recalibration of an Online Predictor via Approachability AISTATS 2024
Efficient Active Learning Halfspaces with Tsybakov Noise: A Non-convex Optimization Approach AISTATS 2024
Adaptive Combinatorial Maximization: Beyond Approximate Greedy Policies ALT 2024
Active Learning Design Choices for NER with Transformers COLING 2024
Annotations on a Budget: Leveraging Geo-Data Similarity to Balance Model Performance and Annotation Cost COLING 2024
Denoising Labeled Data for Comment Moderation Using Active Learning COLING 2024