Krzysztof Choromanski
According to our database1,
Krzysztof Choromanski
authored at least 31 papers
between 2012 and 2019.
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Bibliography
2019
On the Erdős-Hajnal conjecture for six-vertex tournaments.
Eur. J. Comb., 2019
Unifying Orthogonal Monte Carlo Methods.
Proceedings of the 36th International Conference on Machine Learning, 2019
Orthogonal Estimation of Wasserstein Distances.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
KAMA-NNs: Low-dimensional Rotation Based Neural Networks.
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Excluding pairs of tournaments.
Journal of Graph Theory, 2018
Excluding Hooks and their Complements.
Electr. J. Comb., 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
Graph sketching-based Space-efficient Data Clustering.
Proceedings of the 2018 SIAM International Conference on Data Mining, 2018
Adaptive anonymization of data using b-edge cover.
Proceedings of the International Conference for High Performance Computing, 2018
Geometrically Coupled Monte Carlo Sampling.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Optimizing Simulations with Noise-Tolerant Structured Exploration.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
VisualBackProp: Efficient Visualization of CNNs for Autonomous Driving.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018
Structured Evolution with Compact Architectures for Scalable Policy Optimization.
Proceedings of the 35th International Conference on Machine Learning, 2018
Initialization matters: Orthogonal Predictive State Recurrent Neural Networks.
Proceedings of the 6th International Conference on Learning Representations, 2018
The Geometry of Random Features.
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
On Blackbox Backpropagation and Jacobian Sensing.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
The Unreasonable Effectiveness of Structured Random Orthogonal Embeddings.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Structured adaptive and random spinners for fast machine learning computations.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017
2016
Orthogonal Random Features.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016
Recycling Randomness with Structure for Sublinear time Kernel Expansions.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Binary embeddings with structured hashed projections.
Proceedings of the 33nd International Conference on Machine Learning, 2016
Quantization based Fast Inner Product Search.
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
EH-suprema of tournaments with no nontrivial homogeneous sets.
J. Comb. Theory, Ser. B, 2015
Forcing large transitive subtournaments.
J. Comb. Theory, Ser. B, 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
Tournaments with near-linear transitive subsets.
J. Comb. Theory, Ser. B, 2014
2013
Upper Bounds for Erdös-Hajnal Coefficients of Tournaments.
Journal of Graph Theory, 2013
Tournaments and colouring.
J. Comb. Theory, Ser. B, 2013
Adaptive Anonymity via b-Matching.
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
Differentially-Private Learning of Low Dimensional Manifolds.
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 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