Akash Kumar Dhaka

Publication Activity (10 Years)

Years Active: 2016-2021
Publications (10 Years): 9

Top Topics

Variational Inference

Top Venues

Publications

Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier González, Pablo Garcia Moreno, Aki Vehtari
Preferential Batch Bayesian Optimization. MLSP (2021)
Akash Kumar Dhaka, Alejandro Catalina, Manushi Welandawe, Michael Riis Andersen, Jonathan H. Huggins, Aki Vehtari
Challenges and Opportunities in High-dimensional Variational Inference. CoRR (2021)
Akash Kumar Dhaka, Alejandro Catalina, Manushi Welandawe, Michael Riis Andersen, Jonathan H. Huggins, Aki Vehtari
Challenges and Opportunities in High Dimensional Variational Inference. NeurIPS (2021)
Akash Kumar Dhaka, Alejandro Catalina, Michael Riis Andersen, Måns Magnusson, Jonathan H. Huggins, Aki Vehtari
Robust, Accurate Stochastic Optimization for Variational Inference. CoRR (2020)
Akash Kumar Dhaka, Michael Riis Andersen, Pablo Garcia Moreno, Aki Vehtari
Scalable Gaussian Process for Extreme Classification. MLSP (2020)
Eero Siivola, Akash Kumar Dhaka, Michael Riis Andersen, Javier Gonzalez, Pablo Garcia Moreno, Aki Vehtari
Preferential Batch Bayesian Optimization. CoRR (2020)
Akash Kumar Dhaka, Alejandro Catalina, Michael Riis Andersen, Måns Magnusson, Jonathan H. Huggins, Aki Vehtari
Robust, Accurate Stochastic Optimization for Variational Inference. NeurIPS (2020)
Akash Kumar Dhaka, Giampiero Salvi
Semi-supervised Learning with Sparse Autoencoders in Phone Classification. CoRR (2016)
Akash Kumar Dhaka, Giampiero Salvi
Optimising The Input Window Alignment in CD-DNN Based Phoneme Recognition for Low Latency Processing. CoRR (2016)