Akash Kumar Dhaka

According to our database, Akash Kumar Dhaka authored at least 7 papers between 2016 and 2022.

Collaborative distances:

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

2022

Robust and Automated Variational Inference.

Akash Kumar Dhaka

PhD thesis, 2022

2021

Challenges and Opportunities in High Dimensional Variational Inference.

Akash Kumar Dhaka, Alejandro Catalina, Manushi Welandawe, Michael Riis Andersen, Jonathan H. Huggins, Aki Vehtari

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Preferential Batch Bayesian Optimization.

Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier González, Pablo Garcia Moreno, Aki Vehtari

Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

2020

Robust, Accurate Stochastic Optimization for Variational Inference.

Akash Kumar Dhaka, Alejandro Catalina, Michael Riis Andersen, Måns Magnusson, Jonathan H. Huggins, Aki Vehtari

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scalable Gaussian Process for Extreme Classification.

Akash Kumar Dhaka, Michael Riis Andersen, Pablo Garcia Moreno, Aki Vehtari

Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

2016

Semi-supervised Learning with Sparse Autoencoders in Phone Classification.

Akash Kumar Dhaka, Giampiero Salvi

CoRR, 2016

Optimising The Input Window Alignment in CD-DNN Based Phoneme Recognition for Low Latency Processing.

Akash Kumar Dhaka, Giampiero Salvi

CoRR, 2016