Vikas Sindhwani
According to our database1,
Vikas Sindhwani
authored at least 109 papers
between 2001 and 2024.
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Bibliography
2024
Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs.
CoRR, 2024
CoRR, 2024
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
How to Prompt Your Robot: A PromptBook for Manipulation Skills with Code as Policies.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024
2023
IEEE Robotics Autom. Lett., July, 2023
Revisiting Energy Based Models as Policies: Ranking Noise Contrastive Estimation and Interpolating Energy Models.
CoRR, 2023
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Proceedings of the Robotics: Science and Systems XIX, Daegu, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Learning for Dynamics and Control Conference, 2023
A Contextual Bandit Approach for Learning to Plan in Environments with Probabilistic Goal Configurations.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Robotic Table Wiping via Reinforcement Learning and Whole-body Trajectory Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023
Proceedings of the Eleventh International Conference on Learning Representations, 2023
2022
IEEE Robotics Autom. Lett., 2022
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022
Proceedings of the 2022 International Conference on Robotics and Automation, 2022
Proceedings of the Tenth International Conference on Learning Representations, 2022
Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation.
Proceedings of the Conference on Robot Learning, 2022
2021
Int. J. Robotics Res., 2021
Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021
Learning to Rearrange Deformable Cables, Fabrics, and Bags with Goal-Conditioned Transporter Networks.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
Proceedings of the IEEE International Conference on Robotics and Automation, 2021
2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
Proceedings of the 4th Conference on Robot Learning, 2020
2019
When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies.
CoRR, 2019
Proceedings of the Robotics: Science and Systems XV, 2019
From Complexity to Simplicity: Adaptive ES-Active Subspaces for Blackbox Optimization.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
2018
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018
Learning-based Air Data System for Safe and Efficient Control of Fixed-wing Aerial Vehicles.
Proceedings of the 2018 IEEE International Symposium on Safety, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Proceedings of the 35th International Conference on Machine Learning, 2018
Proceedings of the 2nd Annual Conference on Robot Learning, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017
J. Mach. Learn. Res., 2017
Proceedings of the Robotics: Science and Systems XIII, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 2017 American Control Conference, 2017
2016
High-Performance Kernel Machines With Implicit Distributed Optimization and Randomization.
Technometrics, 2016
J. Mach. Learn. Res., 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2015
Near-separable Non-negative Matrix Factorization with ℓ<sub>1</sub> and Bregman Loss Functions.
Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015
Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015
2014
Personalized classifiers: evolving a classifier from a large reference knowledge graph.
Proceedings of the 18th International Database Engineering & Applications Symposium, 2014
Proceedings of the IEEE International Conference on Acoustics, 2014
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
2013
Scalable Matrix-valued Kernel Learning for High-dimensional Nonlinear Multivariate Regression and Granger Causality.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013
Proceedings of the 30th International Conference on Machine Learning, 2013
Low-rank matrix factorization for Deep Neural Network training with high-dimensional output targets.
Proceedings of the IEEE International Conference on Acoustics, 2013
2012
Scalable Matrix-valued Kernel Learning and High-dimensional Nonlinear Causal Inference
CoRR, 2012
Learning evolving and emerging topics in social media: a dynamic nmf approach with temporal regularization.
Proceedings of the Fifth International Conference on Web Search and Web Data Mining, 2012
Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2012
Efficient and Practical Stochastic Subgradient Descent for Nuclear Norm Regularization.
Proceedings of the 29th International Conference on Machine Learning, 2012
2011
IBM J. Res. Dev., 2011
Non-parametric Group Orthogonal Matching Pursuit for Sparse Learning with Multiple Kernels.
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
Proceedings of the IJCAI 2011, 2011
Proceedings of the 28th International Conference on Machine Learning, 2011
Proceedings of the 27th International Conference on Data Engineering, 2011
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011
2010
Proceedings of the SIAM International Conference on Data Mining, 2010
Block Variable Selection in Multivariate Regression and High-dimensional Causal Inference.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the ICDM 2010, 2010
2009
IEEE Signal Process. Mag., 2009
Proceedings of KDD-Cup 2009 competition, Paris, France, June 28, 2009, 2009
IBM J. Res. Dev., 2009
Proceedings of the 32nd Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2009
Uncertainty sampling and transductive experimental design for active dual supervision.
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
Proceedings of the ICDM Workshops 2009, 2009
A Non-negative Matrix Tri-factorization Approach to Sentiment Classification with Lexical Prior Knowledge.
Proceedings of the ACL 2009, 2009
2008
J. Mach. Learn. Res., 2008
Proceedings of the Advances in Neural Information Processing Systems 21, 2008
Proceedings of the Machine Learning, 2008
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008
2007
2006
Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples.
J. Mach. Learn. Res., 2006
Proceedings of the SIGIR 2006: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Machine Learning, 2006
Proceedings of the Semi-Supervised Learning, 2006
2005
Proceedings of the Machine Learning, 2005
Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005
2004
IEEE Trans. Neural Networks, 2004
2001
Proceedings of the First SIAM International Conference on Data Mining, 2001