Amar Shah
8 papers · 2014–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π§ Keyword Pioneer π Conference Polyglot (5) π Academic Marathon (10) π Cross-Pollinator (11)
π
Renaissance Researcher
(6)
π
Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(24)
π
Trend Setter
Conferences
ICML (4)
AAAI (1)
AISTATS (1)
IJCAI (1)
NIPS (1)
Top co-authors
Keywords
bayesian optimization
(4)
gaussian process
(3)
multi-objective optimization
(2)
uncertainty quantification
(1)
boolean satisfiability
(1)
automated reasoning
(1)
gibbs sampling
(1)
beta process
(1)
batch optimization
(1)
stochastic variational inference
(1)
latent factor model
(1)
black-box function
(1)
information gain
(1)
entropy search
(1)
acquisition function
(1)
recurrent neural network
(1)
autonomous vehicle
(1)
gradient vanishing
(1)
bayesian deep learning
(1)
predictive distribution
(1)
Papers
An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes
AAAI 2024
Concrete Problems for Autonomous Vehicle Safety: Advantages of Bayesian Deep Learning
IJCAI 2017
Unitary Evolution Recurrent Neural Networks
ICML 2016
Predictive Entropy Search for Multi-objective Bayesian Optimization
ICML 2016
Pareto Frontier Learning with Expensive Correlated Objectives
ICML 2016
An Empirical Study of Stochastic Variational Inference Algorithms for the Beta Bernoulli Process
ICML 2015
Parallel Predictive Entropy Search for Batch Global Optimization of Expensive Objective Functions
NIPS 2015
Student-t Processes as Alternatives to Gaussian Processes
AISTATS 2014