conftrace_
← Learning Types
Machine Learning › Learning Types ›

Online Learning

1,084 papers

Papers per year

1
23
36
87
38
'05
'10
'15
'20
'25

Papers

Control of Unknown (Linear) Systems with Receding Horizon Learning L4DC 2021
ARDL - A Library for Adaptive Robotic Dynamics Learning L4DC 2021
Accelerated Concurrent Learning Algorithms via Data-Driven Hybrid Dynamics and Nonsmooth ODEs L4DC 2021
Finite-time System Identification and Adaptive Control in Autoregressive Exogenous Systems L4DC 2021
Delay and Cooperation in Nonstochastic Linear Bandits NIPS 2020
Online Structured Meta-learning NIPS 2020
Geometric Exploration for Online Control NIPS 2020
Efficient Online Learning of Optimal Rankings: Dimensionality Reduction via Gradient Descent NIPS 2020
Secretary and Online Matching Problems with Machine Learned Advice NIPS 2020
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms NIPS 2020
Online Algorithms for Multi-shop Ski Rental with Machine Learned Advice NIPS 2020
From Finite to Countable-Armed Bandits NIPS 2020
Analysis and Design of Thompson Sampling for Stochastic Partial Monitoring NIPS 2020
Learning to Play Sequential Games versus Unknown Opponents NIPS 2020
On Regret with Multiple Best Arms NIPS 2020
Smoothed Analysis of Online and Differentially Private Learning NIPS 2020
Optimal Learning from Verified Training Data NIPS 2020
Online Linear Optimization with Many Hints NIPS 2020
Exploiting the Surrogate Gap in Online Multiclass Classification NIPS 2020
Model Selection in Contextual Stochastic Bandit Problems NIPS 2020
Stage-wise Conservative Linear Bandits NIPS 2020
Metric-Free Individual Fairness in Online Learning NIPS 2020
A Bandit Learning Algorithm and Applications to Auction Design NIPS 2020
Latent Bandits Revisited NIPS 2020
Group-Fair Online Allocation in Continuous Time NIPS 2020