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Identifying pandemic-related stress factors from social-media posts – Effects on students and young-adults
The COVID-19 pandemic has thrown natural life out of gear across the globe.
CAMTA: Causal Attention Model for Multi-touch Attribution
Advertising channels have evolved from conventional print media, billboards and radio advertising to online digital advertising (ad), where the users are exposed to a sequence of ad campaigns via social networks, display ads, search etc.
Hi-CI: Deep Causal Inference in High Dimensions
The proposed architecture comprises of a decorrelation network and an outcome prediction network.
MultiMBNN: Matched and Balanced Causal Inference with Neural Networks
Causal inference (CI) in observational studies has received a lot of attention in healthcare, education, ad attribution, policy evaluation, etc.
MetaCI: Meta-Learning for Causal Inference in a Heterogeneous Population
Performing inference on data obtained through observational studies is becoming extremely relevant due to the widespread availability of data in fields such as healthcare, education, retail, etc.
Prosocial or Selfish? Agents with different behaviors for Contract Negotiation using Reinforcement Learning
We further train a meta agent with a mixture of behaviors by learning an ensemble of different models using reinforcement learning.
Multi-agent Reinforcement Learning
reinforcement-learning
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