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Found 6 papers, 1 papers with code
Online Bayesian Moment Matching based SAT Solver Heuristics
Our solvers out-perform the baselines by solving 12 more instances from the SAT competition 2018 application benchmark and are %40 faster on average in solving hard cryptographic instances.
Reinforcement Learning with Exogenous States and Rewards
Exogenous state variables and rewards can slow reinforcement learning by injecting uncontrolled variation into the reward signal.
Multi-objective Neural Architecture Search via Non-stationary Policy Gradient
Despite recent progress, the problem of approximating the full Pareto front accurately and efficiently remains challenging.
Comparing EM with GD in Mixture Models of Two Components
In the case of mixtures of Bernoullis, we find that there exist one-cluster regions that are stable for GD and therefore trap GD, but those regions are unstable for EM, allowing EM to escape.
Discovering and Removing Exogenous State Variables and Rewards for Reinforcement Learning
Exogenous state variables and rewards can slow down reinforcement learning by injecting uncontrolled variation into the reward signal.
Dynamic Sum Product Networks for Tractable Inference on Sequence Data (Extended Version)
Since SPNs represent distributions over a fixed set of variables only, we propose dynamic sum product networks (DSPNs) as a generalization of SPNs for sequence data of varying length.
