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


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