Aryan Deshwal
Aryan Deshwal
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Aryan Deshwal
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Bayesian Optimization over Permutation Spaces
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
Bayesian Optimization of Nanoporous Materials
Output Space Entropy Search Framework for Multi-Objective Bayesian Optimization
Bayesian Optimization over Hybrid Spaces
High-Throughput Training of Deep CNNs on ReRAM-based Heterogeneous Architectures via Optimized Normalization Layers
Learning Pareto-Frontier Resource Management Policies for Heterogeneous SoCs - An Information-Theoretic Approach
Mercer Features for Efficient Combinatorial Bayesian Optimization
Information-Theoretic Multi-Objective Bayesian Optimization with Continuous Approximations
Max-value Entropy Search for Multi-Objective Bayesian Optimization with Constraints
Scalable Combinatorial Bayesian Optimization with Tractable Statistical models
Optimizing Discrete Spaces via Expensive Evaluations: A Learning to Search Framework
Uncertainty-Aware Search Framework for Multi-Objective Bayesian Optimization
Design and Optimization of Energy-Accuracy Tradeoff Networks for Mobile Platforms via Pretrained Deep Models
Design of Multi-Output Switched-Capacitor Voltage Regulator via Machine Learning
Multi-Fidelity Multi-Objective Bayesian Optimization, An Output Space Entropy Search Approach
Max-value Entropy Search for Multi-Objective Bayesian Optimization
MOOS: A multi-objective design space exploration and optimization framework for NoC enabled manycore systems
Learning and inference for structured prediction: a unifying perspective
Randomized greedy search for structured prediction: amortized inference and learning
Taming extreme heterogeneity via machine learning based design of autonomous manycore systems
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