Dzung Phan
7 papers · 2019–2022 · 4 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 ↓
π
Conference Polyglot Β· Bronze
π
Interdisciplinary Bridge Β· Bronze
πΊοΈ
Taxonomy Completionist
(15)
π£
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
mixed integer programming
(2)
unsupervised learning
(1)
stochastic optimization
(1)
causal inference
(1)
reinforcement learning
(1)
stochastic gradient descent
(1)
non-convex optimization
(1)
binary classification
(1)
convex optimization
(1)
sparse learning
(1)
policy gradient
(1)
graph prediction
(1)
composite optimization
(1)
abstract meaning representation
(1)
distributed optimization
(1)
granger causality
(1)
point process
(1)
variance reduction
(1)
coordinate descent
(1)
alternating minimization
(1)
Papers
Interpretable Clustering via Multi-Polytope Machines
AAAI 2022
Cardinality-Regularized Hawkes-Granger Model
NeurIPS 2021
Ensembling Graph Predictions for AMR Parsing
NeurIPS 2021
FedDR β Randomized Douglas-Rachford Splitting Algorithms for Nonconvex Federated Composite Optimization
NeurIPS 2021
A Hybrid Stochastic Policy Gradient Algorithm for Reinforcement Learning
AISTATS 2020
A Scalable MIP-based Method for Learning Optimal Multivariate Decision Trees
NeurIPS 2020
Characterization of Convex Objective Functions and Optimal Expected Convergence Rates for SGD
ICML 2019