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ORCIDJan-P. Calliess
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- affiliation: University of Oxford, UK
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2020 – today
- 2024
[i12]Fabian Krause, Jan-Peter Calliess:
End-to-End Policy Learning of a Statistical Arbitrage Autoencoder Architecture. CoRR abs/2402.08233 (2024)- 2023
- [j6]Peer Nagy, Jan-Peter Calliess, Stefan Zohren:
Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets. Frontiers Artif. Intell. 6 (2023) - [j5]Julien Walden Huang, Stephen J. Roberts, Jan-Peter Calliess:
On the Sample Complexity of Lipschitz Constant Estimation. Trans. Mach. Learn. Res. 2023 (2023) - [c22]Danni Shi
, Jan-Peter Calliess, Mihai Cucuringu:
Multireference Alignment for Lead-Lag Detection in Multivariate Time Series and Equity Trading. ICAIF 2023: 507-515 - [c21]Maitha Al Shimmari, Jan-Peter Calliess, David Wallom:
Time-Series Clustering Of UK Non-domestic Consumers For Demand Response Aggregators. ISGT Asia 2023: 1-5 - [i11]Peer Nagy, Jan-Peter Calliess, Stefan Zohren:
Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets. CoRR abs/2301.08688 (2023) - 2021
- [j4]José María Manzano, David Muñoz de la Peña, Jan-Peter Calliess, Daniel Limón:
Componentwise Hölder Inference for Robust Learning-Based MPC. IEEE Trans. Autom. Control. 66(11): 5577-5583 (2021) - [c20]Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen:
Bayesian Topic Regression for Causal Inference. EMNLP (1) 2021: 8162-8188 - [c19]Peter Belcak, Jan-Peter Calliess, Stefan Zohren:
Fast Agent-Based Simulation Framework with Applications to Reinforcement Learning and the Study of Trading Latency Effects. MABS 2021: 42-56 - [i10]Maximilian Ahrens, Julian Ashwin, Jan-Peter Calliess, Vu Nguyen:
Bayesian Topic Regression for Causal Inference. CoRR abs/2109.05317 (2021) - 2020
- [j3]José María Manzano, Daniel Limón, David Muñoz de la Peña, Jan-Peter Calliess:
Robust learning-based MPC for nonlinear constrained systems. Autom. 117: 108948 (2020) - [j2]Jan-Peter Calliess, Stephen J. Roberts, Carl Edward Rasmussen, Jan M. Maciejowski:
Lazily Adapted Constant Kinky Inference for nonparametric regression and model-reference adaptive control. Autom. 122: 109216 (2020) - [c18]Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen J. Roberts:
Safety Guarantees for Iterative Predictions with Gaussian Processes. CDC 2020: 3187-3193 - [i9]Peter Belcak, Jan-Peter Calliess, Stefan Zohren:
Fast Agent-Based Simulation Framework of Limit Order Books with Applications to Pro-Rata Markets and the Study of Latency Effects. CoRR abs/2008.07871 (2020) - [i8]Xingchen Wan, Jie Yang, Slavi Marinov, Jan-Peter Calliess, Stefan Zohren, Xiaowen Dong:
Sentiment Diffusion in Financial News Networks and Associated Market Movements. CoRR abs/2011.06430 (2020)
2010 – 2019
- 2019
- [c17]José María Manzano, Daniel Limón, David Muñoz de la Peña, Jan-P. Calliess:
Data-based Robust MPC with Componentwise Hölder Kinky Inference. CDC 2019: 6449-6454 - [c16]Arno Blaas, José María Manzano, Daniel Limón, Jan Calliess:
Localised Kinky Inference. ECC 2019: 985-992 - [c15]Jan Calliess:
Online Optimisation for Online Learning and Control - From No-Regret to Generalised Error Convergence. ECC 2019: 2480-2485 - [c14]Ahsan S. Alvi, Bin Xin Ru, Jan-Peter Calliess, Stephen J. Roberts, Michael A. Osborne:
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. ICML 2019: 253-262 - [i7]Ahsan S. Alvi, Bin Xin Ru, Jan Calliess, Stephen J. Roberts, Michael A. Osborne:
Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. CoRR abs/1901.10452 (2019) - [i6]Kyriakos Polymenakos, Luca Laurenti, Andrea Patane, Jan-Peter Calliess, Luca Cardelli, Marta Kwiatkowska, Alessandro Abate, Stephen J. Roberts:
Safety Guarantees for Planning Based on Iterative Gaussian Processes. CoRR abs/1912.00071 (2019) - 2018
- [c13]Jan-Peter Calliess, Antonis Papachristodoulou, Stephen J. Roberts:
Bayesian Nonparametrics and Feedback-Linearisation of Discretised Control-Affine Systems. CDC 2018: 6086-6093 - [c12]Jan-Peter Calliess, Stephen J. Roberts, Carl E. Rasmussen, Jan M. Maciejowski:
Nonlinear Set Membership Regression with Adaptive Hyper-Parameter Estimation for Online Learning and Control. ECC 2018: 1-6 - [c11]Arno Blaas, Adam D. Cobb, Jan-Peter Calliess, Stephen J. Roberts:
Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC. SUM 2018: 373-379 - 2017
- [c10]Jan-Peter Calliess:
Lipschitz optimisation for Lipschitz Interpolation. ACC 2017: 3141-3146 - [i5]Jan-Peter Calliess:
Lazily Adapted Constant Kinky Inference for Nonparametric Regression and Model-Reference Adaptive Control. CoRR abs/1701.00178 (2017) - [i4]Jan-Peter Calliess:
Lipschitz Optimisation for Lipschitz Interpolation. CoRR abs/1702.08898 (2017) - 2014
- [b1]Jan-Peter Calliess:
Conservative decision-making and interference in uncertain dynamical systems. University of Oxford, UK, 2014 - [c9]Jan-Peter Calliess, Michael A. Osborne, Stephen J. Roberts:
Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space. AAMAS 2014: 1109-1116 - [i3]Jan-Peter Calliess, Michael A. Osborne, Stephen J. Roberts:
Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space. CoRR abs/1402.4157 (2014) - 2013
- [c8]Jan-P. Calliess, Stephen J. Roberts:
Multi-Agent Planning with Mixed-Integer Programming and Adaptive Interaction Constraint Generation (Extended Abstract). SOCS 2013: 207-208 - [i2]Jan-Peter Calliess, Antonis Papachristodoulou, Stephen J. Roberts:
Stochastic processes and feedback-linearisation for online identification and Bayesian adaptive control of fully-actuated mechanical systems. CoRR abs/1311.4468 (2013) - 2012
- [j1]Jan-P. Calliess, Michael Mai, Sebastian Pfeiffer:
On the computational benefit of tensor separation for high-dimensional discrete convolutions. Multidimens. Syst. Signal Process. 23(1-2): 255-279 (2012) - [c7]Jan-Peter Calliess, Michael Alan Osborne, Stephen J. Roberts:
Towards Optimization-Based Multi-Agent Collision-Avoidance Under Continuous Stochastic Dynamics. MAPF@AAAI 2012 - [c6]Daniel Lyons, Jan-P. Calliess, Uwe D. Hanebeck:
Chance constrained model predictive control for multi-agent systems with coupling constraints. ACC 2012: 1223-1230 - 2011
- [c5]Jan-P. Calliess, Daniel Lyons, Uwe D. Hanebeck:
Lazy Auctions for Multi-robot Collision Avoidance and Motion Control under Uncertainty. AAMAS Workshops 2011: 295-312 - [i1]Daniel Lyons, Jan-P. Calliess, Uwe D. Hanebeck:
Chance-constrained Model Predictive Control for Multi-Agent Systems. CoRR abs/1104.5384 (2011)
2000 – 2009
- 2009
- [c4]Anne Porbadnigk, Marek Wester, Jan Calliess, Tanja Schultz:
EEG-based Speech Recognition - Impact of Temporal Effects. BIOSIGNALS 2009: 376-381 - [c3]Jan-P. Calliess:
On Fixed Convex Combinations of No-Regret Learners. MLDM 2009: 494-504 - [c2]Sebastian Pfeiffer, Michael Mai, Wolfgang Globke, Jan Calliess:
On generalized separation and the speedup of local operators on multi-dimensional signals. nDS 2009: 1-8 - 2008
- [c1]Jan-P. Calliess, Geoffrey J. Gordon:
No-regret learning and a mechanism for distributed multiagent planning. AAMAS (1) 2008: 509-516
Coauthor Index
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