Anuj Sharma
7 papers · 2017–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (3) π Academic Marathon (8) π Renaissance Researcher (5) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (21)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(15)
Conferences
ACL (2)
EMNLP (2)
ACML (1)
EACL (1)
NIPS (1)
Top co-authors
Keywords
federated learning
(1)
reinforcement learning
(1)
stochastic gradient descent
(1)
offline reinforcement learning
(1)
variational inference
(1)
bayesian learning
(1)
bayesian inference
(1)
bayesian reinforcement learning
(1)
posterior sampling
(1)
model aggregation
(1)
point process
(1)
constraint propagation
(1)
subspace selection
(1)
model pruning
(1)
variance reduction
(1)
coordinate descent
(1)
markov chain
(1)
fisher information matrix
(1)
amortized inference
(1)
model compression
(1)
Papers
Adaptive Constraint Propagation: Scaling Structured Inference for Large Language Models via Meta-Reinforcement Learning
ACL 2026
FedReFT: Federated Representation Fine-Tuning with All-But-Me Aggregation
EACL 2026
Beyond Variance: Knowledge-Aware LLM Compression via Fisher-Aligned Subspace Diagnostics
ACL 2026
Efficient Unstructured Pruning of Mamba State-Space Models for Resource-Constrained Environments
EMNLP 2025
Cache-Efficient Posterior Sampling for Reinforcement Learning with LLM-Derived Priors Across Discrete and Continuous Domains
EMNLP 2025
Point process latent variable models of larval zebrafish behavior
NIPS 2018
Mini-batch Block-coordinate based Stochastic Average Adjusted Gradient Methods to Solve Big Data Problems
ACML 2017