Prasanna Balaprakash
4 papers · 2020–2023 · 4 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Bronze
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(12)
Venues
Top co-authors
Research topics
Machine Learning
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Optimization & Theory
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Bayesian & Probabilistic
(1)
Core AI
(1)
Core Methods
(1)
Learning Types · Machine Learning
(1)
Models
(1)
Optimization
(1)
Keywords
reinforcement learning
(2)
representation learning
(1)
continual learning
(1)
catastrophic forgetting
(1)
information bottleneck
(1)
dynamic programming
(1)
kernel density estimation
(1)
parameter optimization
(1)
quadratic programming
(1)
latent variable model
(1)
variational autoencoder
(1)
quantum approximate optimization algorithm
(1)
sparsity-inducing prior
(1)
out-of-distribution robustness
(1)
learning to optimize
(1)
two-player game
(1)
stochastic policy
(1)
variational quantum circuit
(1)
combinatorial optimization
(1)
optimizer switching
(1)
Papers
Sparsity-Inducing Categorical Prior Improves Robustness of the Information Bottleneck
AISTATS 2023
Formalizing the Generalization-Forgetting Trade-off in Continual Learning
NeurIPS 2021
Learning to Switch Optimizers for Quadratic Programming
ACML 2021
Learning to Optimize Variational Quantum Circuits to Solve Combinatorial Problems
AAAI 2020