Mayank Baranwal
4 papers · 2019–2026 · 2 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓
🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
🚀
Conference Pioneer
Top co-authors
Research topics
Keywords
reinforcement learning
(1)
convergence analysis
(1)
distributed optimization
(1)
deterministic annealing
(1)
cluster number estimation
(1)
gradient descent
(1)
strong convexity
(1)
linear convergence
(1)
optimization algorithm
(1)
phase transition
(1)
dynamical system
(1)
primal-dual method
(1)
gradient quantization
(1)
accelerated gradient method
(1)
polyak-lojasiewicz inequality
(1)
power grid
(1)
power network
(1)
continuous-time framework
(1)
topology selection
(1)
clustering solution
(1)
Papers
Quantized Stochastic Primal–Dual Methods for Distributed Optimization under Relaxed Global Geometry
UAI 2026
PowRL: A Reinforcement Learning Framework for Robust Management of Power Networks
AAAI 2023
Breaking the Convergence Barrier: Optimization via Fixed-Time Convergent Flows
AAAI 2022
On the Persistence of Clustering Solutions and True Number of Clusters in a Dataset
AAAI 2019