Mahesh Chandra Mukkamala
4 papers · 2017–2019 · 3 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
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(10)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
deep neural network
(2)
matrix factorization
(1)
loss landscape
(1)
online convex optimization
(1)
logarithmic regret
(1)
alternating minimization
(1)
regret bound
(1)
strongly convex function
(1)
adaptive gradient method
(1)
activation function
(1)
feed-forward network
(1)
cross-entropy loss
(1)
network width
(1)
local minimum
(1)
neural network
(1)
decision region
(1)
adversarial manipulation
(1)
inertial method
(1)
non-convex optimization
(1)
bregman proximal gradient
(1)
Papers
Beyond Alternating Updates for Matrix Factorization with Inertial Bregman Proximal Gradient Algorithms
NeurIPS 2019
On the loss landscape of a class of deep neural networks with no bad local valleys
ICLR 2019
Neural Networks Should Be Wide Enough to Learn Disconnected Decision Regions
ICML 2018
Variants of RMSProp and Adagrad with Logarithmic Regret Bounds
ICML 2017