Ehsan Imani
7 papers · 2018–2026 · 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
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(13)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Machine Learning
(6)
Deep Learning
(3)
Core Methods
(3)
Reinforcement Learning
(2)
Learning Types · Machine Learning
(2)
Methods
(2)
Optimization & Theory · Deep Learning
(2)
Optimization & Theory · Machine Learning
(2)
Artificial Intelligence
(1)
Application Areas
(1)
Architectures
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Keywords
policy gradient
(2)
reinforcement learning
(2)
neural network
(2)
off-policy learning
(2)
emphatic weighting
(2)
distribution shift
(1)
parametric regression
(1)
conditional distribution
(1)
convergence guarantee
(1)
deep neural network
(1)
loss function
(1)
continuous action
(1)
singular vector
(1)
implicit function theorem
(1)
modal regression
(1)
label alignment
(1)
cross-lingual sentiment analysis
(1)
gradient normalization
(1)
off-policy actor-critic
(1)
implicit function
(1)
Papers
Investigating the Histogram Loss in Regression
JMLR 2026
Label Alignment Regularization for Distribution Shift
JMLR 2024
Off-Policy Actor-Critic with Emphatic Weightings
JMLR 2023
The Tunnel Effect: Building Data Representations in Deep Neural Networks
NeurIPS 2023
An implicit function learning approach for parametric modal regression
NeurIPS 2020
An Off-policy Policy Gradient Theorem Using Emphatic Weightings
NeurIPS 2018
Improving Regression Performance with Distributional Losses
ICML 2018