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1

Preferential Batch Bayesian Optimization:

, In: 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP),

Siivola, Eero ; Dhaka, Akash Kumar ; Andersen, Michael Riis... - p. 1-6 , 2021

Link: https://doi.org/10.1109/..

2

Scalable Gaussian Process for Extreme Classification:

, In: 2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP),

Dhaka, Akash Kumar ; Andersen, Michael Riis ; Moreno, Pablo Garcia. - p. 1-6 , 2020

Link: https://doi.org/10.1109/..

3

Challenges and Opportunities in High-dimensional Variationa..:

Dhaka, Akash Kumar ; Catalina, Alejandro ; Welandawe, Manushi...
http://arxiv.org/abs/2103.01085. , 2021

Link: http://arxiv.org/abs/210..

4

Challenges and Opportunities in High-dimensional Variationa..:

Dhaka, Akash Kumar ; Catalina, Alejandro ; Welandawe, Manushi...
https://orbit.dtu.dk/en/publications/46b0b204-ea3d-4dfb-ab1f-476d2cd503ec. , 2021

Link: https://orbit.dtu.dk/en/..

5

Robust, Accurate Stochastic Optimization for Variational In..:

Dhaka, Akash Kumar ; Catalina, Alejandro ; Andersen, Michael Riis...
Dhaka , A K , Catalina , A , Andersen , M R , Magnusson , M , Huggins , J H & Vehtari , A 2020 , Robust, Accurate Stochastic Optimization for Variational Inference . in Proceedings of 34 th Conference on Neural Information Processing Systems . pp. 10961-10973 , 34 th Conference on Neural Information Processing Systems , 06/12/2020 .. , 2020

Link: https://orbit.dtu.dk/en/..

6

Scalable Gaussian Process for Extreme Classification:

Dhaka, Akash Kumar ; Andersen, Michael Riis ; Moreno, Pablo Garcia.
https://orbit.dtu.dk/en/publications/e94ca8f3-cbed-48a1-9f17-85e9dd00fa5a. , 2020

Link: https://orbit.dtu.dk/en/..

7

Robust, Accurate Stochastic Optimization for Variational In..:

Dhaka, Akash Kumar ; Catalina, Alejandro ; Andersen, Michael Riis...
http://arxiv.org/abs/2009.00666. , 2020

Link: http://arxiv.org/abs/200..

8

Preferential Batch Bayesian Optimization:

Siivola, Eero ; Dhaka, Akash Kumar ; Andersen, Michael Riis...
http://arxiv.org/abs/2003.11435. , 2020

Link: http://arxiv.org/abs/200..

9

Semi-Supervised Learning with Sparse Autoencoders in Automa..:

DHAKA, AKASH KUMAR
EES Examensarbete / Master Thesis. , 2016

Link: http://urn.kb.se/resolve..

10

Optimising The Input Window Alignment in CD-DNN Based Phone..:

Dhaka, Akash Kumar ; Salvi, Giampiero
http://arxiv.org/abs/1606.09163. , 2016

Link: http://arxiv.org/abs/160..

11

Semi-supervised Learning with Sparse Autoencoders in Phone ..:

Dhaka, Akash Kumar ; Salvi, Giampiero
http://arxiv.org/abs/1610.00520. , 2016

Link: http://arxiv.org/abs/161..

12

Sparse Autoencoder Based Semi-Supervised Learning for Phone..:

Kumar Dhaka, Akash ; Salvi, Giampiero
Grounding Language Understanding. , 2017

Link: http://urn.kb.se/resolve..

13

Biofunctionalized Nanostructured Materials for Sensing of P..:

, In: Environmental Chemistry for a Sustainable World; Nanosensors for Environmental Applications,

Mehta, Jyotsana ; Kumar, Rahul ; Dhaka, Sarita. - p. 29-86 , 2020

Link: https://doi.org/10.1007/..

14

Metal–organic frameworks (MOFs) for the removal of emerging..:

Dhaka, Sarita ; Kumar, Rahul ; Deep, Akash...
Coordination Chemistry Reviews. 380 (2019) - p. 330-352 , 2019

Link: https://doi.org/10.1016/..

15

List of contributors:

, In: Biomarkers in Environmental and Human Health Biomonitoring,

Behera, Bunushree ; Belwal, Satyakirti ; Bisht, Satpal Singh... - p. xvii-xxii , 2024

Link: https://doi.org/10.1016/..

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