Advait Parulekar
4 papers · 2022–2024 · 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 · Silver
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Taxonomy Completionist
(17)
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Hot Topic Early Bird
Venues
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Research topics
Machine Learning
(4)
Optimization & Theory
(3)
Deep Learning
(2)
Reinforcement Learning
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Methods
(2)
Artificial Intelligence
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Core Methods
(1)
Learning Paradigms
(1)
Optimization
(1)
Techniques
(1)
Keywords
regret bound
(2)
representation learning
(1)
contrastive learning
(1)
reinforcement learning
(1)
model misspecification
(1)
self-supervised learning
(1)
in-context learning
(1)
policy learning
(1)
linear function approximation
(1)
stochastic shortest path
(1)
contextual bandit
(1)
sublinear regret
(1)
regression task
(1)
softmax attention
(1)
function lipschitzness
(1)
nearest-neighbor predictor
(1)
stationary policy
(1)
linear markov decision process
(1)
infonce loss
(1)
negative sampling
(1)
Papers
In-Context Learning with Transformers: Softmax Attention Adapts to Function Lipschitzness
NeurIPS 2024
InfoNCE Loss Provably Learns Cluster-Preserving Representations
COLT 2023
Improved Algorithms for Misspecified Linear Markov Decision Processes
AISTATS 2022
Regret Bounds for Stochastic Shortest Path Problems with Linear Function Approximation
ICML 2022