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Found 5 papers, 3 papers with code
Counterfactual Identifiability of Bijective Causal Models
We study counterfactual identifiability in causal models with bijective generation mechanisms (BGM), a class that generalizes several widely-used causal models in the literature.
Online Reinforcement Learning in Non-Stationary Context-Driven Environments
We present Locally Constrained Policy Optimization (LCPO), an online RL approach that combats CF by anchoring policy outputs on old experiences while optimizing the return on current experiences.
Counterfactual (Non-)identifiability of Learned Structural Causal Models
The size of this error can be an essential metric for deciding whether or not DSCMs are a viable approach for counterfactual inference in a specific problem setting.
CausalSim: A Causal Framework for Unbiased Trace-Driven Simulation
Key to CausalSim is mapping unbiased trace-driven simulation to a tensor completion problem with extremely sparse observations.
Real-Time Video Inference on Edge Devices via Adaptive Model Streaming
Real-time video inference on edge devices like mobile phones and drones is challenging due to the high computation cost of Deep Neural Networks.
