Sanket Shah
11 papers · 2019–2025 · 6 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 ↓+6 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (30) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π₯
Mega-Team Β· Squad
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Renaissance Researcher
(8)
ποΈ
Keyword Collector
(59)
Top co-authors
Research topics
Machine Learning
(8)
Optimization & Theory
(5)
Artificial Intelligence
(4)
Core AI
(4)
Learning Types Β· Machine Learning
(4)
Mathematics & Optimization
(3)
Optimization
(3)
Deep Learning
(2)
Natural Language Processing
(2)
Reinforcement Learning
(2)
Speech & Audio
(2)
Application Areas
(2)
Core Methods
(2)
Learning Types Β· Deep Learning
(2)
Recognition
(2)
Keywords
decision-focused learning
(4)
reinforcement learning
(2)
resource allocation
(2)
markov decision process
(2)
predictive model
(2)
loss function learning
(2)
visual question answering
(1)
natural language processing
(1)
deep reinforcement learning
(1)
automatic speech recognition
(1)
multimodal learning
(1)
value function
(1)
approximate dynamic programming
(1)
statistical evaluation
(1)
sample efficiency
(1)
algorithm design
(1)
machine learning
(1)
commonsense knowledge
(1)
decision making under uncertainty
(1)
sequential decision
(1)
Papers
Evaluating Index-based Treatment Allocation in Underresourced Communities
AAAI 2025
Group Fairness in Predict-Then-Optimize Settings for Restless Bandits
UAI 2024
Leaving the Nest: Going beyond Local Loss Functions for Predict-Then-Optimize
AAAI 2024
Scalable Decision-Focused Learning in Restless Multi-Armed Bandits with Application to Maternal and Child Health
AAAI 2023
Decision-Focused Learning without Decision-Making: Learning Locally Optimized Decision Losses
NeurIPS 2022
Data-Driven Methods for Balancing Fairness and Efficiency in Ride-Pooling
IJCAI 2021
Learning MDPs from Features: Predict-Then-Optimize for Sequential Decision Making by Reinforcement Learning
NeurIPS 2021
MUCS 2021: Multilingual and Code-Switching ASR Challenges for Low Resource Indian Languages
Interspeech 2021
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
AAAI 2020
CoSSAT: Code-Switched Speech Annotation Tool
EMNLP 2019
KVQA: Knowledge-Aware Visual Question Answering
AAAI 2019