Scott Sanner

Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization AAAI 2026 Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions AAAI 2026 Semantic XPath: Structured Agentic Memory Access for Conversational AI ACL 2026 Batched Self-Consistency Improves LLM Relevance Assessment and Ranking EMNLP 2025 ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets AAAI 2025 LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases ICLR 2025 MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval EMNLP 2025 ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning AAAI 2025 Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents ACL 2025 Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison ACL 2025 Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens ICML 2025 Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction ICML 2025 Bayesian Inference with Complex Knowledge Graph Evidence AAAI 2024 Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models NAACL 2024 Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering EMNLP 2024 Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution EMNLP 2024 Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization ICLR 2023 COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification EMNLP 2023 DiffuDetox: A Mixed Diffusion Model for Text Detoxification ACL 2023 Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus AAAI 2023 Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming AAAI 2023 A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs AAAI 2022 An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming ICML 2022 Learning to Follow Instructions in Text-Based Games NeurIPS 2022 Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs AAAI 2022 Bayesian Experience Reuse for Learning from Multiple Demonstrators IJCAI 2021 Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts UAI 2021 Online Class-Incremental Continual Learning with Adversarial Shapley Value AAAI 2021 Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models NeurIPS 2021 Risk-Aware Transfer in Reinforcement Learning using Successor Features NeurIPS 2021 Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021 Deep Reactive Policies for Planning in Stochastic Nonlinear Domains AAAI 2019 Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning UAI 2019 Efficient Symbolic Integration for Probabilistic Inference IJCAI 2018 Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models IJCAI 2018 Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach NeurIPS 2018 Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming IJCAI 2017 Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NeurIPS 2017 A Symbolic Closed-Form Solution to Sequential Market Making with Inventory IJCAI 2016 Practical Linear Models for Large-Scale One-Class Collaborative Filtering IJCAI 2016 Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013 Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes IJCAI 2013 Robust Optimization for Hybrid MDPs with State-Dependent Noise IJCAI 2013 Symbolic Dynamic Programming for Continuous State and Observation POMDPs NeurIPS 2012 Gaussian Process Preference Elicitation NeurIPS 2010 Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries AISTATS 2010