Shivam Garg
9 papers · 2018–2025 · 4 venues · across top CS/AI venues
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Achievements
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π Conference Polyglot Β· Bronze π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (22) π£ Hot Topic Early Bird
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The Questioner
Venues
Top co-authors
Research topics
Machine Learning
(9)
Optimization & Theory
(5)
Reinforcement Learning
(4)
Methods
(4)
Mathematics & Optimization
(3)
Learning Types
(3)
Artificial Intelligence
(2)
Deep Learning
(2)
Core AI
(2)
Core Methods
(2)
Mathematics
(2)
Application Areas
(1)
Architectures
(1)
Bayesian & Probabilistic
(1)
Learning Paradigms
(1)
Keywords
policy gradient
(2)
gradient descent
(2)
temporal difference learning
(1)
adversarial robustness
(1)
maximum entropy
(1)
distribution shift
(1)
machine unlearning
(1)
in-context learning
(1)
theoretical analysis
(1)
inverse reinforcement learning
(1)
stability analysis
(1)
markov decision process
(1)
feature learning
(1)
sample efficiency
(1)
distribution learning
(1)
discrete distribution
(1)
gaussian distribution
(1)
spectral method
(1)
adversarial perturbation
(1)
reinforcement learning
(1)
Papers
Machine Unlearning via Simulated Oracle Matching
ICLR 2025
A general class of surrogate functions for stable and efficient reinforcement learning
AISTATS 2022
An Alternate Policy Gradient Estimator for Softmax Policies
AISTATS 2022
How and When Random Feedback Works: A Case Study of Low-Rank Matrix Factorization
AISTATS 2022
What Can Transformers Learn In-Context? A Case Study of Simple Function Classes
NeurIPS 2022
Reward Identification in Inverse Reinforcement Learning
ICML 2021
Gradient Temporal-Difference Learning with Regularized Corrections
ICML 2020
Sample Amplification: Increasing Dataset Size even when Learning is Impossible
ICML 2020
A Spectral View of Adversarially Robust Features
NeurIPS 2018