Jan-P. Calliess

Affiliations:
  • University of Oxford, UK


According to our database1, Jan-P. Calliess authored at least 31 papers between 2008 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2021
Componentwise Hölder Inference for Robust Learning-Based MPC.
IEEE Trans. Autom. Control., 2021

Fast Agent-Based Simulation Framework with Applications to Reinforcement Learning and the Study of Trading Latency Effects.
Proceedings of the Multi-Agent-Based Simulation XXII - 22nd International Workshop, 2021

Bayesian Topic Regression for Causal Inference.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Sentiment Diffusion in Financial News Networks and Associated Market Movements.
CoRR, 2020

Fast Agent-Based Simulation Framework of Limit Order Books with Applications to Pro-Rata Markets and the Study of Latency Effects.
CoRR, 2020

Robust learning-based MPC for nonlinear constrained systems.
Autom., 2020

Lazily Adapted Constant Kinky Inference for nonparametric regression and model-reference adaptive control.
Autom., 2020

Safety Guarantees for Iterative Predictions with Gaussian Processes.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Safety Guarantees for Planning Based on Iterative Gaussian Processes.
CoRR, 2019

Asynchronous Batch Bayesian Optimisation with Improved Local Penalisation.
Proceedings of the 36th International Conference on Machine Learning, 2019

Online Optimisation for Online Learning and Control - From No-Regret to Generalised Error Convergence.
Proceedings of the 17th European Control Conference, 2019

Localised Kinky Inference.
Proceedings of the 17th European Control Conference, 2019

Data-based Robust MPC with Componentwise Hölder Kinky Inference.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

2018
Scalable Bounding of Predictive Uncertainty in Regression Problems with SLAC.
Proceedings of the Scalable Uncertainty Management - 12th International Conference, 2018

Nonlinear Set Membership Regression with Adaptive Hyper-Parameter Estimation for Online Learning and Control.
Proceedings of the 16th European Control Conference, 2018

Bayesian Nonparametrics and Feedback-Linearisation of Discretised Control-Affine Systems.
Proceedings of the 57th IEEE Conference on Decision and Control, 2018

2017
Lazily Adapted Constant Kinky Inference for Nonparametric Regression and Model-Reference Adaptive Control.
CoRR, 2017

Lipschitz optimisation for Lipschitz Interpolation.
Proceedings of the 2017 American Control Conference, 2017

2014
Conservative decision-making and interference in uncertain dynamical systems.
PhD thesis, 2014

Conservative collision prediction and avoidance for stochastic trajectories in continuous time and space.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

2013
Stochastic processes and feedback-linearisation for online identification and Bayesian adaptive control of fully-actuated mechanical systems.
CoRR, 2013

Multi-Agent Planning with Mixed-Integer Programming and Adaptive Interaction Constraint Generation (Extended Abstract).
Proceedings of the Sixth Annual Symposium on Combinatorial Search, 2013

2012
On the computational benefit of tensor separation for high-dimensional discrete convolutions.
Multidimens. Syst. Signal Process., 2012

Chance constrained model predictive control for multi-agent systems with coupling constraints.
Proceedings of the American Control Conference, 2012

Towards Optimization-Based Multi-Agent Collision-Avoidance Under Continuous Stochastic Dynamics.
Proceedings of the Multiagent Pathfinding, Papers from the 2012 AAAI Workshop, 2012

2011
Chance-constrained Model Predictive Control for Multi-Agent Systems
CoRR, 2011

Lazy Auctions for Multi-robot Collision Avoidance and Motion Control under Uncertainty.
Proceedings of the Advanced Agent Technology, 2011

2009
On generalized separation and the speedup of local operators on multi-dimensional signals.
Proceedings of the 2009 International Workshop on Multidimensional (nD) Systems, 2009

On Fixed Convex Combinations of No-Regret Learners.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2009

EEG-based Speech Recognition - Impact of Temporal Effects.
Proceedings of the BIOSIGNALS 2009, 2009

2008
No-regret learning and a mechanism for distributed multiagent planning.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008


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