---
license: mit
task_categories:
  - text-classification
language:
  - en
tags:
  - research
  - machine-learning
  - reinforcement-learning
  - bandits
  - arxiv:2604.19672
  - arxiv:2604.19695
  - arxiv:2604.19698
  - arxiv:2604.20074
  - arxiv:2604.20077
  - arxiv:2604.20078
  - arxiv:2604.21432
  - arxiv:2604.21462
  - arxiv:2604.21956
  - arxiv:2604.22385
  - arxiv:2604.22386
  - arxiv:2604.24537
  - arxiv:2604.24545
  - arxiv:2604.24555
  - arxiv:2604.25269
  - arxiv:2604.25271
  - arxiv:2604.25272
  - arxiv:2604.26550
  - arxiv:2604.26654
  - arxiv:2604.26818
  - arxiv:2604.27562
  - arxiv:2604.27563
  - arxiv:2604.27564
  - arxiv:2605.00488
  - arxiv:2605.00489
  - arxiv:2605.00490
  - arxiv:2605.02458
  - arxiv:2605.02461
  - arxiv:2605.02462
  - arxiv:2605.03493
  - arxiv:2605.03495
  - arxiv:2605.03496
  - arxiv:2605.04664
  - arxiv:2605.04666
  - arxiv:2605.05124
  - arxiv:2605.08955
  - arxiv:2605.08958
  - arxiv:2605.10847
  - arxiv:2605.20552
pretty_name: Michal Valko Research Papers
---

# Michal Valko Research Papers

Selected research papers by Michal Valko on bandits, reinforcement learning, and online learning.

## Papers

- [Spectral bandits for smooth graph functions with applications in recommender systems](https://arxiv.org/abs/2605.20552)
- [Conditional anomaly detection methods for patient-management alert systems](https://arxiv.org/abs/2605.10847)
- [Learning predictive models for combinations of heterogeneous proteomic data sources](https://arxiv.org/abs/2605.08958)
- [Outlier detection for patient monitoring and alerting](https://arxiv.org/abs/2605.08955)
- [Conditional outlier detection for clinical alerting](https://arxiv.org/abs/2605.05124)
- [Evidence-based anomaly detection in clinical domains](https://arxiv.org/abs/2605.04664)
- [Feature importance analysis for patient management decisions](https://arxiv.org/abs/2605.04666)
- [Bandits on graphs and structures](https://arxiv.org/abs/2605.03493)
- [Adaptive graph-based algorithms for conditional anomaly detection and semi-supervised learning](https://arxiv.org/abs/2605.03495)
- [Bandits attack function optimization](https://arxiv.org/abs/2605.03496)
- [Active multiple matrix completion with adaptive confidence sets](https://arxiv.org/abs/2605.02458)
- [Middle-mile logistics through the lens of goal-conditioned reinforcement learning](https://arxiv.org/abs/2605.02461)
- [Black-box optimization of noisy functions with unknown smoothness](https://arxiv.org/abs/2605.02462)
- [Trading off rewards and errors in multi-armed bandits](https://arxiv.org/abs/2605.00488)
- [Revealing graph bandits for maximizing local influence](https://arxiv.org/abs/2605.00489)
- [Distance metric learning for conditional anomaly detection](https://arxiv.org/abs/2605.00490)
- [Bayesian policy gradient and actor-critic algorithms](https://arxiv.org/abs/2604.27563)
- [Online semi-supervised perception: Real-time learning without explicit feedback](https://arxiv.org/abs/2604.27562)
- [Learning from a single labeled face and a stream of unlabeled data](https://arxiv.org/abs/2604.27564)
- [Semi-supervised learning with max-margin graph cuts](https://arxiv.org/abs/2604.26818)
- [Evolutionary feature selection for spiking neural network pattern classifiers](https://arxiv.org/abs/2604.26654)
- [Large-scale semi-supervised learning with online spectral graph sparsification](https://arxiv.org/abs/2604.26550)
- [Online learning with Erdős-Rényi side-observation graphs](https://arxiv.org/abs/2604.25271)
- [Online combinatorial optimization with stochastic decision sets and adversarial losses](https://arxiv.org/abs/2604.25269)
- [Spectral bandits](https://arxiv.org/abs/2604.25272)
- [Efficient learning by implicit exploration in bandit problems with side observations](https://arxiv.org/abs/2604.24555)
- [Extreme bandits](https://arxiv.org/abs/2604.24545)
- [Stochastic simultaneous optimistic optimization](https://arxiv.org/abs/2604.24537)
- [Conditional anomaly detection using soft harmonic functions: An application to clinical alerting](https://arxiv.org/abs/2604.21956)
- [Pliable rejection sampling](https://arxiv.org/abs/2604.22385)
- [Pack only the essentials: Adaptive dictionary learning for kernel ridge regression](https://arxiv.org/abs/2604.22386)
- [Conditional anomaly detection with soft harmonic functions](https://arxiv.org/abs/2604.21462)
- [A single algorithm for both restless and rested rotting bandits](https://arxiv.org/abs/2604.21432)
- [Maximum entropy semi-supervised inverse reinforcement learning](https://arxiv.org/abs/2604.20074)
- [Analysis of Nyström method with sequential ridge leverage scores](https://arxiv.org/abs/2604.20077)
- [Improved large-scale graph learning through ridge spectral sparsification](https://arxiv.org/abs/2604.20078)
- [Planning in entropy-regularized Markov decision processes and games](https://arxiv.org/abs/2604.19695)
- [On two ways to use determinantal point processes for Monte Carlo integration](https://arxiv.org/abs/2604.19698)
- [Budgeted online influence maximization](https://arxiv.org/abs/2604.19672)