# Kian Hsiang Low

According to our database1, Kian Hsiang Low authored at least 83 papers between 2001 and 2021.

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

Book
In proceedings
Article
PhD thesis
Other

## Bibliography

2021
Convolutional Normalizing Flows for Deep Gaussian Processes.
CoRR, 2021

Collaborative Bayesian Optimization with Fair Regret.
Proceedings of the 38th International Conference on Machine Learning, 2021

Value-at-Risk Optimization with Gaussian Processes.
Proceedings of the 38th International Conference on Machine Learning, 2021

Model Fusion for Personalized Learning.
Proceedings of the 38th International Conference on Machine Learning, 2021

Top-k Ranking Bayesian Optimization.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

An Information-Theoretic Framework for Unifying Active Learning Problems.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Gaussian process decentralized data fusion meets transfer learning in large-scale distributed cooperative perception.
Auton. Robots, 2020

Variational Bayesian Unlearning.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Federated Bayesian Optimization via Thompson Sampling.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Efficient Exploration of Reward Functions in Inverse Reinforcement Learning via Bayesian Optimization.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Collaborative Machine Learning with Incentive-Aware Model Rewards.
Proceedings of the 37th International Conference on Machine Learning, 2020

Private Outsourced Bayesian Optimization.
Proceedings of the 37th International Conference on Machine Learning, 2020

Proceedings of the 37th International Conference on Machine Learning, 2020

R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games.
Proceedings of the 37th International Conference on Machine Learning, 2020

FCM-sketch: generic network measurements with data plane support.
Proceedings of the CoNEXT '20: The 16th International Conference on emerging Networking EXperiments and Technologies, 2020

Nonmyopic Gaussian Process Optimization with Macro-Actions.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Scalable Variational Bayesian Kernel Selection for Sparse Gaussian Process Regression.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019
Inverse Reinforcement Learning with Missing Data.
CoRR, 2019

A Unifying Framework of Bilinear LSTMs.
CoRR, 2019

Bayesian Optimization with Binary Auxiliary Information.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Implicit Posterior Variational Inference for Deep Gaussian Processes.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stochastic Variational Inference for Bayesian Sparse Gaussian Process Regression.
Proceedings of the International Joint Conference on Neural Networks, 2019

Towards Robust ResNet: A Small Step but a Giant Leap.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Collective Model Fusion for Multiple Black-Box Experts.
Proceedings of the 36th International Conference on Machine Learning, 2019

Bayesian Optimization Meets Bayesian Optimal Stopping.
Proceedings of the 36th International Conference on Machine Learning, 2019

GEE: A Gradient-based Explainable Variational Autoencoder for Network Anomaly Detection.
Proceedings of the 7th IEEE Conference on Communications and Network Security, 2019

Collective Online Learning of Gaussian Processes in Massive Multi-Agent Systems.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Collective Online Learning via Decentralized Gaussian Processes in Massive Multi-Agent Systems.
CoRR, 2018

Decentralized High-Dimensional Bayesian Optimization With Factor Graphs.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Stochastic Variational Inference for Fully Bayesian Sparse Gaussian Process Regression Models.
CoRR, 2017

Distributed Batch Gaussian Process Optimization.
Proceedings of the 34th International Conference on Machine Learning, 2017

A Generalized Stochastic Variational Bayesian Hyperparameter Learning Framework for Sparse Spectrum Gaussian Process Regression.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Concept Based Hybrid Fusion of Multimodal Event Signals.
Proceedings of the IEEE International Symposium on Multimedia, 2016

DrMAD: Distilling Reverse-Mode Automatic Differentiation for Optimizing Hyperparameters of Deep Neural Networks.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Distributed Variational Inference Framework for Unifying Parallel Sparse Gaussian Process Regression Models.
Proceedings of the 33nd International Conference on Machine Learning, 2016

Multi-Agent Continuous Transportation with Online Balanced Partitioning: (Extended Abstract).
Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Near-Optimal Active Learning of Multi-Output Gaussian Processes.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Gaussian Process Planning with Lipschitz Continuous Reward Functions: Towards Unifying Bayesian Optimization, Active Learning, and Beyond.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Gaussian Process Decentralized Data Fusion and Active Sensing for Spatiotemporal Traffic Modeling and Prediction in Mobility-on-Demand Systems.
IEEE Trans Autom. Sci. Eng., 2015

Multi-Agent Continuous Transportation with Online Balanced Partitioning.
CoRR, 2015

Inverse Reinforcement Learning with Locally Consistent Reward Functions.
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

A Unifying Framework of Anytime Sparse Gaussian Process Regression Models with Stochastic Variational Inference for Big Data.
Proceedings of the 32nd International Conference on Machine Learning, 2015

Parallel Gaussian Process Regression for Big Data: Low-Rank Representation Meets Markov Approximation.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Generalized Online Sparse Gaussian Processes with Application to Persistent Mobile Robot Localization.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Active Learning Is Planning: Nonmyopic ε-Bayes-Optimal Active Learning of Gaussian Processes.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2014

Nonmyopic $$\epsilon$$-Bayes-Optimal Active Learning of Gaussian Processes.
Proceedings of the 31th International Conference on Machine Learning, 2014

Scalable Decision-Theoretic Coordination and Control for Real-time Active Multi-Camera Surveillance.
Proceedings of the International Conference on Distributed Smart Cameras, 2014

No One is Left "Unwatched": Fairness in Observation of Crowds of Mobile Targets in Active Camera Surveillance.
Proceedings of the ECAI 2014 - 21st European Conference on Artificial Intelligence, 18-22 August 2014, Prague, Czech Republic, 2014

Recent Advances in Scaling Up Gaussian Process Predictive Models for Large Spatiotemporal Data.
Proceedings of the Dynamic Data-Driven Environmental Systems Science, 2014

Multi-robot active sensing of non-stationary gaussian process-based environmental phenomena.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Decision-theoretic approach to maximizing fairness in multi-target observation in multi-camera surveillance.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Multi-agent ad hoc team partitioning by observing and modeling single-agent performance.
Proceedings of the Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2014

GP-Localize: Persistent Mobile Robot Localization Using Online Sparse Gaussian Process Observation Model.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
Parallel Gaussian Process Regression with Low-Rank Covariance Matrix Approximations.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Gaussian Process-Based Decentralized Data Fusion and Active Sensing for Mobility-on-Demand System.
Proceedings of the Robotics: Science and Systems IX, Technische Universität Berlin, Berlin, Germany, June 24, 2013

Interactive POMDP Lite: Towards Practical Planning to Predict and Exploit Intentions for Interacting with Self-Interested Agents.
Proceedings of the IJCAI 2013, 2013

A General Framework for Interacting Bayes-Optimally with Self-Interested Agents using Arbitrary Parametric Model and Model Prior.
Proceedings of the IJCAI 2013, 2013

Adaptive sensing of time series with application to remote exploration.
Proceedings of the 2013 IEEE International Conference on Robotics and Automation, 2013

Multi-robot informative path planning for active sensing of environmental phenomena: a tale of two algorithms.
Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

2012
Decentralized Data Fusion and Active Sensing with Mobile Sensors for Modeling and Predicting Spatiotemporal Traffic Phenomena.
Proceedings of the Twenty-Eighth Conference on Uncertainty in Artificial Intelligence, 2012

Decision-theoretic coordination and control for active multi-camera surveillance in uncertain, partially observable environments.
Proceedings of the Sixth International Conference on Distributed Smart Cameras, 2012

Hierarchical Bayesian Nonparametric Approach to Modeling and Learning the Wisdom of Crowds of Urban Traffic Route Planning Agents.
Proceedings of the 2012 IEEE/WIC/ACM International Conferences on Intelligent Agent Technology, 2012

Decision-theoretic approach to maximizing observation of multiple targets in multi-camera surveillance.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Decentralized active robotic exploration and mapping for probabilistic field classification in environmental sensing.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

Intention-aware planning under uncertainty for interacting with self-interested, boundedly rational agents.
Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011
Active Markov information-theoretic path planning for robotic environmental sensing.
Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

2009
Information-Theoretic Approach to Efficient Adaptive Path Planning for Mobile Robotic Environmental Sensing.
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009

2008
Adaptive multi-robot wide-area exploration and mapping.
Proceedings of the 7th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2008), 2008

2007
Virtual circle mapping for master-slave hand systems.

A Transparent Bilateral Controller for Teleoperation Considering the Transition of Motion.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

Adaptive Sampling for Multi-Robot Wide-Area Exploration.
Proceedings of the 2007 IEEE International Conference on Robotics and Automation, 2007

2006
Autonomic mobile sensor network with self-coordinated task allocation and execution.
IEEE Trans. Syst. Man Cybern. Syst., 2006

2005
An Ensemble of Cooperative Extended Kohonen Maps for Complex Robot Motion Tasks.
Neural Comput., 2005

Modeling and Motion Control of Robotic Hand for Telemanipulation Application.
Int. J. Softw. Eng. Knowl. Eng., 2005

A Mapping Method for Telemanipulation of the Non-Anthropomorphic Robotic Hands with Initial Experimental Validation.
Proceedings of the 2005 IEEE International Conference on Robotics and Automation, 2005

2004
Reactive, Distributed Layered Architecture for Resource-bounded Multi-robot Cooperation: Application to Mobile Sensor Network Coverage.
Proceedings of the 2004 IEEE International Conference on Robotics and Automation, 2004

Task Allocation via Self-Organizing Swarm Coalitions in Distributed Mobile Sensor Network.
Proceedings of the Nineteenth National Conference on Artificial Intelligence, 2004

2003
Action Selection for Single- and Multi-Robot Tasks Using Cooperative Extended Kohonen Maps.
Proceedings of the IJCAI-03, 2003

Enhancing the reactive capabilities of integrated planning and control with cooperative extended kohonen maps.
Proceedings of the 2003 IEEE International Conference on Robotics and Automation, 2003

Action selection in continuous state and action spaces by cooperation and competition of extended kohonen maps.
Proceedings of the Second International Joint Conference on Autonomous Agents & Multiagent Systems, 2003

2002
Integrated Planning and Control of Mobile Robot with Self-Organizing Neural Network.
Proceedings of the 2002 IEEE International Conference on Robotics and Automation, 2002

A hybrid mobile robot architecture with integrated planning and control.
Proceedings of the First International Joint Conference on Autonomous Agents & Multiagent Systems, 2002

2001
Combined Use of Ground Learning Model and Active Compliance to the Motion Control of Walking Robotic Legs.
Proceedings of the 2001 IEEE International Conference on Robotics and Automation, 2001