Shiv Shankar
17 papers · 2018–2026 · 10 venues · across top CS/AI venues
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Achievements
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(2)
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(5)
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(85)
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Venues
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Research topics
Machine Learning
(12)
Artificial Intelligence
(10)
Core AI
(10)
Optimization & Theory
(6)
Deep Learning
(5)
Learning Types Β· Machine Learning
(5)
Core Methods
(4)
Data Science & Analytics
(3)
Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Reinforcement Learning
(2)
Applications
(2)
Architectures
(2)
Methods Β· Data Science & Analytics
(2)
Methods Β· Reinforcement Learning
(2)
Keywords
causal inference
(4)
policy gradient
(3)
neural network
(3)
reinforcement learning
(3)
energy-based model
(2)
machine translation
(2)
a/b testing
(2)
network interference
(2)
instrumental variable
(2)
diffusion language model
(2)
sequence-to-sequence learning
(2)
loss function
(2)
treatment effect
(2)
off-policy evaluation
(2)
neural machine translation
(1)
knowledge distillation
(1)
attention mechanism
(1)
structured prediction
(1)
preference learning
(1)
machine learning
(1)
Papers
Energy Matching based Preference Learning for Diffusion Language Models
EACL 2026
Learning Shortcut Models for Efficient Recursive Reasoning
ACL 2026
Pseudo-Likelihood Training for Reasoning Diffusion Language Models
EACL 2026
Experimentation under Treatment Dependent Network Interference
UAI 2025
A/B testing under Interference with Partial Network Information
AISTATS 2024
Adaptive Instrument Design for Indirect Experiments
ICLR 2024
On Online Experimentation without Device Identifiers
ICML 2024
Direct Inference of Effect of Treatment (DIET) for a Cookieless World
AISTATS 2023
Implicit Training of Inference Network Models for Structured Prediction
UAI 2023
Multimodal fusion via cortical network inspired losses
ACL 2022
Off-Policy Evaluation for Action-Dependent Non-stationary Environments
NeurIPS 2022
High-Confidence Off-Policy (or Counterfactual) Variance Estimation
AAAI 2021
Differential Equation Units: Learning Functional Forms of Activation Functions from Data
AAAI 2020
Optimizing for the Future in Non-Stationary MDPs
ICML 2020
Posterior Attention Models for Sequence to Sequence Learning
ICLR 2019
Three-quarter Sibling Regression for Denoising Observational Data
IJCAI 2019
Surprisingly Easy Hard-Attention for Sequence to Sequence Learning
EMNLP 2018