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RTDK-BO: High Dimensional Bayesian Optimization with Reinforced
  Transformer Deep kernels

RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels

5 October 2023
Alexander Shmakov
Avisek Naug
Vineet Gundecha
Sahand Ghorbanpour
Ricardo Luna Gutierrez
Ashwin Ramesh Babu
Antonio Guillen-Perez
Soumyendu Sarkar
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Papers citing "RTDK-BO: High Dimensional Bayesian Optimization with Reinforced Transformer Deep kernels"

12 / 12 papers shown
Title
EARL-BO: Reinforcement Learning for Multi-Step Lookahead,
  High-Dimensional Bayesian Optimization
EARL-BO: Reinforcement Learning for Multi-Step Lookahead, High-Dimensional Bayesian Optimization
Mujin Cheon
Jay H. Lee
Dong-Yeun Koh
Calvin Tsay
35
0
0
31 Oct 2024
A survey and benchmark of high-dimensional Bayesian optimization of
  discrete sequences
A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
Miguel González Duque
Richard Michael
Simon Bartels
Yevgen Zainchkovskyy
Søren Hauberg
Wouter Boomsma
44
4
0
07 Jun 2024
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML
  Integration
A Configurable Pythonic Data Center Model for Sustainable Cooling and ML Integration
Avisek Naug
Antonio Guillen
Ricardo Luna Gutierrez
Vineet Gundecha
Sahand Ghorbanpour
Sajad Mousavi
Ashwin Ramesh Babu
Soumyendu Sarkar
AI4CE
30
4
0
18 Apr 2024
Function Approximation for Reinforcement Learning Controller for Energy
  from Spread Waves
Function Approximation for Reinforcement Learning Controller for Energy from Spread Waves
Soumyendu Sarkar
Vineet Gundecha
Sahand Ghorbanpour
Alexander Shmakov
Ashwin Ramesh Babu
Avisek Naug
Alexandre Frederic Julien Pichard
Mathieu Cocho
45
8
0
17 Apr 2024
Robustness and Visual Explanation for Black Box Image, Video, and ECG
  Signal Classification with Reinforcement Learning
Robustness and Visual Explanation for Black Box Image, Video, and ECG Signal Classification with Reinforcement Learning
Soumyendu Sarkar
Ashwin Ramesh Babu
Sajad Mousavi
Vineet Gundecha
Avisek Naug
Sahand Ghorbanpour
AAML
OffRL
29
2
0
27 Mar 2024
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
Carbon Footprint Reduction for Sustainable Data Centers in Real-Time
Soumyendu Sarkar
Avisek Naug
Ricardo Luna
Antonio Guillen
Vineet Gundecha
Sahand Ghorbanpour
Sajad Mousavi
Dejan Markovikj
Ashwin Ramesh Babu
AI4CE
32
7
0
21 Mar 2024
N-Critics: Self-Refinement of Large Language Models with Ensemble of
  Critics
N-Critics: Self-Refinement of Large Language Models with Ensemble of Critics
Sajad Mousavi
Ricardo Luna Gutierrez
Desik Rengarajan
Vineet Gundecha
Ashwin Ramesh Babu
Avisek Naug
Antonio Guillen-Perez
Soumyendu Sarkar
LRM
HILM
KELM
29
6
0
28 Oct 2023
Benchmark Generation Framework with Customizable Distortions for Image
  Classifier Robustness
Benchmark Generation Framework with Customizable Distortions for Image Classifier Robustness
Soumyendu Sarkar
Ashwin Ramesh Babu
Sajad Mousavi
Zachariah Carmichael
Vineet Gundecha
Sahand Ghorbanpour
Ricardo Luna
Antonio Guillen-Perez
Avisek Naug
AAML
DiffM
59
3
0
28 Oct 2023
PyDCM: Custom Data Center Models with Reinforcement Learning for
  Sustainability
PyDCM: Custom Data Center Models with Reinforcement Learning for Sustainability
Avisek Naug
Antonio Guillen-Perez
Ricardo Luna Gutierrez
Vineet Gundecha
Dejan Markovikj
...
Lorenz Krause
Sahand Ghorbanpour
Sajad Mousavi
Ashwin Ramesh Babu
Soumyendu Sarkar
AI4CE
8
4
0
05 Oct 2023
Soft Actor-Critic for Discrete Action Settings
Soft Actor-Critic for Discrete Action Settings
Petros Christodoulou
OffRL
104
292
0
16 Oct 2019
Max-value Entropy Search for Efficient Bayesian Optimization
Max-value Entropy Search for Efficient Bayesian Optimization
Zi Wang
Stefanie Jegelka
110
403
0
06 Mar 2017
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,926
0
17 Aug 2015
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