Elias Jääsaari

According to our database, Elias Jääsaari authored at least 8 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

A Multilabel Classification Framework for Approximate Nearest Neighbor Search.

Ville Hyvönen, Elias Jääsaari, Teemu Roos

J. Mach. Learn. Res., 2024

LoRANN: Low-Rank Matrix Factorization for Approximate Nearest Neighbor Search.

Elias Jääsaari, Ville Hyvönen, Teemu Roos

CoRR, 2024

2022

SONAR: Joint Architecture and System Optimization Search.

Elias Jääsaari, Michelle Ma, Ameet Talwalkar, Tianqi Chen

CoRR, 2022

2019

Supervised Learning Approach to Approximate Nearest Neighbor Search.

Ville Hyvönen, Elias Jääsaari, Teemu Roos

CoRR, 2019

Efficient Autotuning of Hyperparameters in Approximate Nearest Neighbor Search.

Elias Jääsaari, Ville Hyvönen, Teemu Roos

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2019

2018

Minimax Optimal Bayes Mixtures for Memoryless Sources over Large Alphabets.

Elias Jääsaari, Janne Leppä-aho, Tomi Silander, Teemu Roos

Proceedings of the Algorithmic Learning Theory, 2018

Quotient Normalized Maximum Likelihood Criterion for Learning Bayesian Network Structures.

Tomi Silander, Janne Leppä-aho, Elias Jääsaari, Teemu Roos

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018

2016

Fast nearest neighbor search through sparse random projections and voting.

Ville Hyvönen, Teemu Pitkänen, Sotiris K. Tasoulis, Elias Jaasaari, Risto Tuomainen, Liang Wang, Jukka Corander, Teemu Roos

Proceedings of the 2016 IEEE International Conference on Big Data (IEEE BigData 2016), 2016