Anuj Sharma
8 papers · 2017–2026 · 6 venues · across top CS/AI venues
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Achievements
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Research topics
Artificial Intelligence
(6)
Machine Learning
(5)
Core AI
(5)
Deep Learning
(4)
Application Areas
(2)
Bayesian & Probabilistic Β· Artificial Intelligence
(2)
Bayesian & Probabilistic Β· Machine Learning
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Computer Science
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Robotics
(1)
Applications
(1)
Capabilities
(1)
Keywords
large language model
(2)
reinforcement learning
(1)
constraint propagation
(1)
semi-supervised learning
(1)
offline reinforcement learning
(1)
variational inference
(1)
bayesian learning
(1)
bayesian inference
(1)
bayesian reinforcement learning
(1)
object detection
(1)
posterior sampling
(1)
model aggregation
(1)
document layout analysis
(1)
point process
(1)
stochastic gradient descent
(1)
subspace selection
(1)
model pruning
(1)
variance reduction
(1)
coordinate descent
(1)
federated learning
(1)
Papers
Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning
ACL 2026
Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics
ACL 2026
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
EACL 2026
LLM-Guided Probabilistic Fusion for Label-Efficient Document Layout Analysis
CVPR 2026
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains
EMNLP 2025
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments
EMNLP 2025
Point process latent variable models of larval zebrafish behavior
NeurIPS 2018
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems
ACML 2017