
Bayesian Policy Search for Stochastic Domains
AI planning can be cast as inference in probabilistic models, and probab...
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Probabilistic Programs with Stochastic Conditioning
We propose to distinguish between deterministic conditioning, that is, c...
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Stochastically Differentiable Probabilistic Programs
Probabilistic programs with mixed support (both continuous and discrete ...
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Stochastic probabilistic programs
We introduce the notion of a stochastic probabilistic program and presen...
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Warped Input Gaussian Processes for Time Series Forecasting
We introduce a Gaussian processbased model for handling of nonstationa...
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Deployable probabilistic programming
We propose design guidelines for a probabilistic programming facility su...
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Population Anomaly Detection through Deep Gaussianization
We introduce an algorithmic method for population anomaly detection base...
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Intrusions in Marked Renewal Processes
We present a probabilistic model of an intrusion in a marked renewal pro...
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A Planning Approach to Monitoring Behavior of Computer Programs
We describe a novel approach to monitoring high level behaviors using co...
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Process Monitoring on Sequences of System Call Count Vectors
We introduce a methodology for efficient monitoring of processes running...
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Session Analysis using Plan Recognition
This paper presents preliminary results of our work with a major financi...
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Maximum a Posteriori Estimation by Search in Probabilistic Programs
We introduce an approximate search algorithm for fast maximum a posterio...
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Path Finding under Uncertainty through Probabilistic Inference
We introduce a new approach to solving pathfinding problems under uncer...
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OutputSensitive Adaptive MetropolisHastings for Probabilistic Programs
We introduce an adaptive outputsensitive MetropolisHastings algorithm ...
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Rational Deployment of Multiple Heuristics in IDA*
Recent advances in metareasoning for search has shown its usefulness in ...
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Justifying and Improving MetaAgent ConflictBased Search
The MetaAgent ConflictBased Search (MACBS) is a recently proposed alg...
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Selecting Computations: Theory and Applications
Sequential decision problems are often approximately solvable by simulat...
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Towards Rational Deployment of Multiple Heuristics in A*
The obvious way to use several admissible heuristics in A* is to take th...
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VOIaware MCTS
UCT, a stateofthe art algorithm for Monte Carlo tree search (MCTS) in ...
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MCTS Based on Simple Regret
UCT, a stateofthe art algorithm for Monte Carlo tree search (MCTS) in ...
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Doing Better Than UCT: Rational Monte Carlo Sampling in Trees
UCT, a stateofthe art algorithm for Monte Carlo tree sampling (MCTS), ...
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Rational Deployment of CSP Heuristics
Heuristics are crucial tools in decreasing search effort in varied field...
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Rational Value of Information Estimation for Measurement Selection
Computing value of information (VOI) is a crucial task in various aspect...
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SemiMyopic Sensing Plans for Value Optimization
We consider the following sequential decision problem. Given a set of it...
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David Tolpin
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