Krzysztof Choromanski
Affiliations:- Columbia University, Department of Industrial Engineering and Operations Research
According to our database1,
Krzysztof Choromanski
authored at least 91 papers
between 2012 and 2022.
Collaborative distances:
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Bibliography
2022
A Theoretical and Empirical Comparison of Gradient Approximations in Derivative-Free Optimization.
Found. Comput. Math., 2022
From block-Toeplitz matrices to differential equations on graphs: towards a general theory for scalable masked Transformers.
Proceedings of the International Conference on Machine Learning, 2022
Proceedings of the IEEE International Conference on Acoustics, 2022
2021
ES-ENAS: Combining Evolution Strategies with Neural Architecture Search at No Extra Cost for Reinforcement Learning.
CoRR, 2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
Proceedings of the 9th International Conference on Learning Representations, 2021
CWY Parametrization: a Solution for Parallelized Optimization of Orthogonal and Stiefel Matrices.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
CoRR, 2020
Masked Language Modeling for Proteins via Linearly Scalable Long-Context Transformers.
CoRR, 2020
CoRR, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 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 37th International Conference on Machine Learning, 2020
Proceedings of the 37th International Conference on Machine Learning, 2020
Proceedings of the 8th International Conference on Learning Representations, 2020
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
Practical Nonisotropic Monte Carlo Sampling in High Dimensions via Determinantal Point Processes.
Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020
2019
Structured Monte Carlo Sampling for Nonisotropic Distributions via Determinantal Point Processes.
CoRR, 2019
When random search is not enough: Sample-Efficient and Noise-Robust Blackbox Optimization of RL Policies.
CoRR, 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 36th International Conference on Machine Learning, 2019
Proceedings of the 3rd Annual Conference on Robot Learning, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
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 SIAM International Conference on Data Mining, 2018
Proceedings of the International Conference for High Performance Computing, 2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 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 6th International Conference on Learning Representations, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
CoRR, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Theor. Comput. Sci., 2016
CoRR, 2016
On the boosting ability of top-down decision tree learning algorithm for multiclass classification.
CoRR, 2016
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 33nd International Conference on Machine Learning, 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
J. Comb. Theory, Ser. B, 2015
An $\tilde{O}(\frac{1}{\sqrt{T}})$-error online algorithm for retrieving heavily perturbated statistical databases in the low-dimensional querying mode.
CoRR, 2015
Learning how to rank from heavily perturbed statistics - digraph clustering approach.
CoRR, 2015
An Optimal Online Algorithm For Retrieving Heavily Perturbed Statistical Databases In The Low-Dimensional Querying Model.
Proceedings of the 24th ACM International Conference on Information and Knowledge Management, 2015
2014
Notes on using Determinantal Point Processes for Clustering with Applications to Text Clustering.
CoRR, 2014
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
2012
The power of the dinur-nissim algorithm: breaking privacy of statistical and graph databases.
Proceedings of the 31st ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2012