3 papers
math.GM2026
Bayesian fuzzy optimization using fuzzy Gaussian process
Sourav Das, Debdas Ghosh, Debjani Chakraborty +1
In many real-life problems, decision-making gets complicated due to dual sources of uncertainty, known as randomness and fuzziness or imprecision, which can be challenging for trad…
math.OC2026
MTRBO: Multiple trust-region based Bayesian optimization
Sourav Das, Debjani Chakraborty, Pabitra Mitra
Bayesian Optimization (BO) is a popular framework for optimizing black-box functions. Despite its effectiveness, BO is often inefficient for high-dimensional problems due to the ex…
cs.LG2024
Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance
Suryam Arnav Kalra, Arindam Biswas, Pabitra Mitra +1
Expansion property of a graph refers to its strong connectivity as well as sparseness. It has been reported that deep neural networks can be pruned to a high degree of sparsity whi…