Shiv Shankar
17 papers · 2018–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (9) π Cross-Pollinator (7)
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(6)
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Taxonomy Completionist
(29)
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Interdisciplinary Bridge
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(4)
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Topic Evolution
π₯
Unstoppable
(8)
ποΈ
Keyword Collector
(65)
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(14)
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Conferences
AAAI (2)
ACL (2)
AISTATS (2)
EACL (2)
ICLR (2)
ICML (2)
UAI (2)
EMNLP (1)
IJCAI (1)
NIPS (1)
Top co-authors
Research topics
Keywords
causal inference
(3)
policy gradient
(3)
reinforcement learning
(3)
neural network
(3)
a/b testing
(2)
off-policy evaluation
(2)
diffusion language model
(2)
loss function
(2)
energy-based model
(2)
structured prediction
(1)
knowledge distillation
(1)
attention mechanism
(1)
machine translation
(1)
neural machine translation
(1)
sequential decision-making
(1)
preference learning
(1)
machine learning
(1)
sequential decision making
(1)
model alignment
(1)
dynamic regret
(1)
Papers
Learning Shortcut Models for Efficient Recursive Reasoning
ACL 2026
Energy Matching based Preference Learning for Diffusion Language Models
EACL 2026
Pseudo-Likelihood Training for Reasoning Diffusion Language Models
EACL 2026
Experimentation under Treatment Dependent Network Interference
UAI 2025
Adaptive Instrument Design for Indirect Experiments
ICLR 2024
A/B testing under Interference with Partial Network Information
AISTATS 2024
On Online Experimentation without Device Identifiers
ICML 2024
Implicit Training of Inference Network Models for Structured Prediction
UAI 2023
Direct Inference of Effect of Treatment (DIET) for a Cookieless World
AISTATS 2023
Multimodal fusion via cortical network inspired losses
ACL 2022
Off-Policy Evaluation for Action-Dependent Non-stationary Environments
NIPS 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