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2020 – today
- 2023
[c23]Rafael Sterzinger, Jan Poland, Max B. Paulus, Didier Chételat:
Learning to Predict Security Constraints for Large-Scale Unit Commitment Problems. ISGT EUROPE 2023: 1-5- 2021
- [c22]Iiro Harjunkoski, Marco Giuntoli, Jan Poland, Susanne Schmitt:
Matheuristics for Speeding Up the Solution of the Unit Commitment Problem. ISGT-Europe 2021: 1-5 - 2020
- [j10]Ioannis Lymperopoulos
, Faran A. Qureshi, Altug Bitlislioglu, Jan Poland, Alessandro Zanarini, Mehmet Mercangöz, Colin N. Jones:
Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses. IEEE Trans. Smart Grid 11(1): 665-672 (2020)
2010 – 2019
- 2019
- [c21]Robin Spiess, Felix Berkenkamp, Andreas Krause, Jan Poland:
Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy. ECC 2019: 9-15 - 2018
- [c20]Dinesh Pothineni, Martin R. Oswald, Jan Poland, Marc Pollefeys:
KloudNet: Deep Learning for Sky Image Analysis and Irradiance Forecasting. GCPR 2018: 535-551 - [i13]Robin Spiess, Felix Berkenkamp, Jan Poland, Andreas Krause:
Learning to Compensate Photovoltaic Power Fluctuations from Images of the Sky by Imitating an Optimal Policy. CoRR abs/1811.05788 (2018) - 2017
- [c19]Alessandro Zanarini, Jan Poland:
A Hybrid Approach for Stator Winding Design Optimization. CPAIOR 2017: 131-146 - 2016
- [c18]Hany Abdelrahman, Felix Berkenkamp, Jan Poland, Andreas Krause:
Bayesian optimization for maximum power point tracking in photovoltaic power plants. ECC 2016: 2078-2083 - 2014
- [c17]Jan Poland, Konrad S. Stadler:
Stochastic optimal planning of solar thermal power. CCA 2014: 593-598 - [c16]Jan Poland, Francesca Bordonali:
Bayesian model update in a horizon estimation framework. ECC 2014: 2219-2224 - 2011
- [c15]Thanikesavan Sivanthi, Jan Poland:
Efficient Planning of Substation Automation System Cables. CPAIOR 2011: 210-214
2000 – 2009
- 2008
- [j9]Jan Poland, Kosmas Knödler:
Controlling Model Trust with compactly Supported Smooth RBF. Control. Intell. Syst. 36(1) (2008) - [j8]Jan Poland:
Nonstochastic bandits: Countable decision set, unbounded costs and reactive environments. Theor. Comput. Sci. 397(1-3): 77-93 (2008) - [j7]Jan Poland:
Consistency of discrete Bayesian learning. Theor. Comput. Sci. 405(3): 256-273 (2008) - 2007
- [c14]Jan Poland:
On the Consistency of Discrete Bayesian Learning. STACS 2007: 405-416 - 2006
- [j6]Jan Poland, Marcus Hutter:
MDL convergence speed for Bernoulli sequences. Stat. Comput. 16(2): 161-175 (2006) - [j5]Jan Poland:
Erratum to "Asymptotics of Discrete MDL for Online Prediction". IEEE Trans. Inf. Theory 52(3): 1279 (2006) - [c13]Jan Poland:
The Missing Consistency Theorem for Bayesian Learning: Stochastic Model Selection. ALT 2006: 259-273 - [c12]Jan Poland, Thomas Zeugmann:
Clustering Pairwise Distances with Missing Data: Maximum Cuts Versus Normalized Cuts. Discovery Science 2006: 197-208 - [c11]Jan Poland:
Online Learning with Universal Model and Predictor Classes. ITW 2006: 237-241 - [i12]Jan Poland:
Recent Results in Universal and Non-Universal Induction. Kolmogorov Complexity and Applications 2006 - [i11]Jan Poland, Marcus Hutter:
MDL Convergence Speed for Bernoulli Sequences. CoRR abs/math/0602505 (2006) - 2005
- [j4]Marcus Hutter, Jan Poland:
Adaptive Online Prediction by Following the Perturbed Leader. J. Mach. Learn. Res. 6: 639-660 (2005) - [j3]Jan Poland, Marcus Hutter:
Asymptotics of discrete MDL for online prediction. IEEE Trans. Inf. Theory 51(11): 3780-3795 (2005) - [c10]Jan Poland, Marcus Hutter:
Defensive Universal Learning with Experts. ALT 2005: 356-370 - [c9]Jan Poland:
FPL Analysis for Adaptive Bandits. SAGA 2005: 58-69 - [i10]Jan Poland, Marcus Hutter:
Master Algorithms for Active Experts Problems based on Increasing Loss Values. CoRR abs/cs/0502067 (2005) - [i9]Marcus Hutter, Jan Poland:
Adaptive Online Prediction by Following the Perturbed Leader. CoRR abs/cs/0504078 (2005) - [i8]Jan Poland, Marcus Hutter:
Asymptotics of Discrete MDL for Online Prediction. CoRR abs/cs/0506022 (2005) - [i7]Jan Poland, Marcus Hutter:
Defensive Universal Learning with Experts. CoRR abs/cs/0507044 (2005) - [i6]Jan Poland:
FPL Analysis for Adaptive Bandits. CoRR abs/cs/0507062 (2005) - [i5]Jan Poland, Marcus Hutter:
Universal Learning of Repeated Matrix Games. CoRR abs/cs/0508073 (2005) - [i4]Jan Poland, Marcus Hutter:
Strong Asymptotic Assertions for Discrete MDL in Regression and Classification. CoRR abs/math/0502315 (2005) - 2004
- [j2]Jan Poland:
A coding theorem for Enumerable Output Machines. Inf. Process. Lett. 91(4): 157-161 (2004) - [c8]Marcus Hutter, Jan Poland:
Prediction with Expert Advice by Following the Perturbed Leader for General Weights. ALT 2004: 279-293 - [c7]Jan Poland, Marcus Hutter:
On the Convergence Speed of MDL Predictions for Bernoulli Sequences. ALT 2004: 294-308 - [c6]Jan Poland, Marcus Hutter:
Convergence of Discrete MDL for Sequential Prediction. COLT 2004: 300-314 - [c5]Jan Poland:
Explicit Local Models: Towards "Optimal" Optimization Algorithms. ECML 2004: 569-571 - [i3]Jan Poland, Marcus Hutter:
Convergence of Discrete MDL for Sequential Prediction. CoRR cs.LG/0404057 (2004) - [i2]Marcus Hutter, Jan Poland:
Prediction with Expert Advice by Following the Perturbed Leader for General Weights. CoRR cs.LG/0405043 (2004) - [i1]Jan Poland, Marcus Hutter:
On the Convergence Speed of MDL Predictions for Bernoulli Sequences. CoRR cs.LG/0407039 (2004) - 2003
- [j1]Jan Poland:
Finding smooth maps is NP-complete. Inf. Process. Lett. 85(5): 249-253 (2003) - 2002
- [c4]Jan Poland, Andreas Zell:
Different criteria for active learning in neural networks: a comparative study. ESANN 2002: 119-124 - [c3]Kosmas Knödler, Jan Poland, Andreas Zell, Alexander Mitterer:
Memetic Algorithms For Combinatorial Optimization Problems In The Calibration Of Modern Combustion Engines. GECCO 2002: 687 - 2001
- [c2]Jan Poland, Kosmas Knödler, Andreas Zell:
On the Efficient Construction of Rectangular Grids from Given Data Points. EvoWorkshops 2001: 110-119 - [c1]Jan Poland, Kosmas Knödler, Alexander Mitterer, Thomas Fleischhauer, Frank Zuber-Goos, Andreas Zell:
Evolutionary Search for Smooth Maps in Motor Control Unit Calibration. SAGA 2001: 107-116
Coauthor Index
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