Rishit Sheth
7 papers · 2015–2023 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (18) 🐣 Hot Topic Early Bird
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Trend Setter
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(5)
Artificial Intelligence
(3)
Bayesian & Probabilistic · Artificial Intelligence
(3)
Bayesian & Probabilistic · Machine Learning
(3)
Core Methods
(3)
Deep Learning
(2)
Learning Types
(2)
Models
(2)
Data Science & Analytics
(1)
Mathematics & Optimization
(1)
Application Areas
(1)
Applications
(1)
Learning Paradigms · Artificial Intelligence
(1)
Learning Paradigms · Machine Learning
(1)
Keywords
variational inference
(3)
gaussian process
(3)
sparse gaussian process
(2)
bayesian optimization
(2)
latent gaussian model
(2)
excess risk
(1)
log loss
(1)
direct loss minimization
(1)
variational optimization
(1)
hyperparameter tuning
(1)
posterior predictive
(1)
square loss
(1)
latent variable model
(1)
topic model
(1)
fixed-point operator
(1)
budget-aware planning
(1)
automated machine learning
(1)
feature subset selection
(1)
gradient-based search
(1)
higher-order correlation
(1)
Papers
Bayesian Optimization Over Iterative Learners with Structured Responses: A Budget-aware Planning Approach
AISTATS 2023
Direct Loss Minimization for Sparse Gaussian Processes
AISTATS 2021
Differentiable Feature Selection by Discrete Relaxation
AISTATS 2020
Probabilistic Matrix Factorization for Automated Machine Learning
NeurIPS 2018
Excess Risk Bounds for the Bayes Risk using Variational Inference in Latent Gaussian Models
NeurIPS 2017
A Fixed-Point Operator for Inference in Variational Bayesian Latent Gaussian Models
AISTATS 2016
Sparse Variational Inference for Generalized GP Models
ICML 2015