18 results on '"Scott Sanner"'
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2. Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus.
3. Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming.
4. Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs.
5. A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs.
6. Online Class-Incremental Continual Learning with Adversarial Shapley Value.
7. Deep Reactive Policies for Planning in Stochastic Nonlinear Domains.
8. Low-Rank Linear Cold-Start Recommendation from Social Data.
9. Hindsight Optimization for Hybrid State and Action MDPs.
10. Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints.
11. On the Effectiveness of Linear Models for One-Class Collaborative Filtering.
12. Linear-Time Gibbs Sampling in Piecewise Graphical Models.
13. Loss-Calibrated Monte Carlo Action Selection.
14. Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time.
15. Real-Time Symbolic Dynamic Programming.
16. Symbolic Variable Elimination for Discrete and Continuous Graphical Models.
17. Symbolic Dynamic Programming for Continuous State and Action MDPs.
18. Symbolic Dynamic Programming for First-order POMDPs.
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