No-regret learning and a mechanism for distributed multiagent planning. - Jan-P. Calliess; Geoffrey J. Gordon (AAMAS (1), 2008)

EEG-based Speech Recognition - Impact of Temporal Effects. - Anne Porbadnigk; Marek Wester; Jan Calliess; Tanja Schultz (BIOSIGNALS, 2009)

On Fixed Convex Combinations of No-Regret Learners. - Jan-P. Calliess (MLDM, 2009)

On generalized separation and the speedup of local operators on multi-dimensional signals. - Sebastian Pfeiffer; Michael Mai; Wolfgang Globke; Jan Calliess (nDS, 2009)

Lazy Auctions for Multi-robot Collision Avoidance and Motion Control under Uncertainty. - Jan-P. Calliess; Daniel Lyons; Uwe D. Hanebeck (AAMAS Workshops, 2011)

Chance-constrained Model Predictive Control for Multi-Agent Systems - Daniel Lyons; Jan-P. Calliess; Uwe D. Hanebeck (CoRR, 2011)

Towards Optimization-Based Multi-Agent Collision-Avoidance Under Continuous Stochastic Dynamics. - Jan-Peter Calliess; Michael Alan Osborne; Stephen J. Roberts (MAPF@AAAI, 2012)

Chance constrained model predictive control for multi-agent systems with coupling constraints. - Daniel Lyons; Jan-P. Calliess; Uwe D. Hanebeck (ACC, 2012)

On the computational benefit of tensor separation for high-dimensional discrete convolutions. - Jan-P. Calliess; Michael Mai; Sebastian Pfeiffer (Multidimens. Syst. Signal Process., 2012)

Multi-Agent Planning with Mixed-Integer Programming and Adaptive Interaction Constraint Generation (Extended Abstract). - Jan-P. Calliess; Stephen J. Roberts (SOCS, 2013)

Stochastic processes and feedback-linearisation for online identification and Bayesian adaptive control of fully-actuated mechanical systems. - Jan-Peter Calliess; Antonis Papachristodoulou; Stephen J. Roberts (CoRR, 2013)

Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space. - Jan-Peter Calliess; Michael A. Osborne; Stephen J. Roberts (AAMAS, 2014)

Conservative decision-making and interference in uncertain dynamical systems. - Jan-Peter Calliess (2014)

Lipschitz optimisation for Lipschitz Interpolation. - Jan-Peter Calliess (ACC, 2017)

Lazily Adapted Constant Kinky Inference for Nonparametric Regression and Model-Reference Adaptive Control. - Jan-Peter Calliess (CoRR, 2017)

Bayesian Nonparametrics and Feedback-Linearisation of Discretised Control-Affine Systems. - Jan-Peter Calliess; Antonis Papachristodoulou; Stephen J. Roberts (CDC, 2018)

Nonlinear Set Membership Regression with Adaptive Hyper-Parameter Estimation for Online Learning and Control. - Jan-Peter Calliess; Stephen J. Roberts; Carl E. Rasmussen; Jan M. Maciejowski (ECC, 2018)

Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC. - Arno Blaas; Adam D. Cobb; Jan-Peter Calliess; Stephen J. Roberts (SUM, 2018)

Data-based Robust MPC with Componentwise Hölder Kinky Inference. - José María Manzano; Daniel Limón; David Muñoz de la Peña; Jan-P. Calliess (CDC, 2019)

Localised Kinky Inference. - Arno Blaas; José María Manzano; Daniel Limón; Jan Calliess (ECC, 2019)

Online Optimisation for Online Learning and Control - From No-Regret to Generalised Error Convergence. - Jan Calliess (ECC, 2019)

Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation. - Ahsan S. Alvi; Bin Xin Ru; Jan-Peter Calliess; Stephen J. Roberts; Michael A. Osborne (ICML, 2019)

Safety Guarantees for Planning Based on Iterative Gaussian Processes. - Kyriakos Polymenakos; Luca Laurenti; Andrea Patane; Jan-Peter Calliess; Luca Cardelli; Marta Kwiatkowska; Alessandro Abate; Stephen J. Roberts (CoRR, 2019)

Safety Guarantees for Iterative Predictions with Gaussian Processes. - Kyriakos Polymenakos; Luca Laurenti; Andrea Patane; Jan-Peter Calliess; Luca Cardelli; Marta Kwiatkowska; Alessandro Abate; Stephen J. Roberts (CDC, 2020)

Lazily Adapted Constant Kinky Inference for nonparametric regression and model-reference adaptive control. - Jan-Peter Calliess; Stephen J. Roberts; Carl Edward Rasmussen; Jan M. Maciejowski (Autom., 2020)

Robust learning-based MPC for nonlinear constrained systems. - José María Manzano; Daniel Limón; David Muñoz de la Peña; Jan-Peter Calliess (Autom., 2020)

Fast Agent-Based Simulation Framework of Limit Order Books with Applications to Pro-Rata Markets and the Study of Latency Effects. - Peter Belcak; Jan-Peter Calliess; Stefan Zohren (CoRR, 2020)

Sentiment Diffusion in Financial News Networks and Associated Market Movements. - Xingchen Wan; Jie Yang; Slavi Marinov; Jan-Peter Calliess; Stefan Zohren; Xiaowen Dong 001 (CoRR, 2020)

Bayesian Topic Regression for Causal Inference. - Maximilian Ahrens; Julian Ashwin; Jan-Peter Calliess; Vu Nguyen (EMNLP (1), 2021)

Fast Agent-Based Simulation Framework with Applications to Reinforcement Learning and the Study of Trading Latency Effects. - Peter Belcak; Jan-Peter Calliess; Stefan Zohren (MABS, 2021)

Componentwise Hölder Inference for Robust Learning-Based MPC. - José María Manzano; David Muñoz de la Peña; Jan-Peter Calliess; Daniel Limón (IEEE Trans. Autom. Control., 2021)

Multireference Alignment for Lead-Lag Detection in Multivariate Time Series and Equity Trading. - Danni Shi; Jan-Peter Calliess; Mihai Cucuringu (ICAIF, 2023)

Time-Series Clustering Of UK Non-domestic Consumers For Demand Response Aggregators. - Maitha Al Shimmari; Jan-Peter Calliess; David Wallom (ISGT Asia, 2023)

Asynchronous Deep Double Duelling Q-Learning for Trading-Signal Execution in Limit Order Book Markets. - Peer Nagy; Jan-Peter Calliess; Stefan Zohren (CoRR, 2023)

On the Sample Complexity of Lipschitz Constant Estimation. - Julien Walden Huang; Stephen J. Roberts; Jan-Peter Calliess (Trans. Mach. Learn. Res., 2023)

Asynchronous Deep Double Dueling Q-learning for trading-signal execution in limit order book markets. - Peer Nagy; Jan-Peter Calliess; Stefan Zohren (Frontiers Artif. Intell., 2023)

End-to-End Policy Learning of a Statistical Arbitrage Autoencoder Architecture. - Fabian Krause; Jan-Peter Calliess (CoRR, 2024)