← Authors

Scott Sanner

45 papers · 2010–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (13) 🌈 Renaissance Researcher (6) πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (16) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (15) 🧬 Topic Evolution πŸ† Grand Slam πŸ† Keyword Champion ⚑ Prolific Year (6) πŸ”₯ Unstoppable (5) πŸ“ˆ Trend Setter πŸ’Ž Century Club (43) πŸ—ƒοΈ Keyword Collector (52) πŸš€ Conference Pioneer

Conferences

AAAI (11) IJCAI (9) NIPS (7) EMNLP (5) ICML (4) ACL (3) ICLR (2) UAI (2) AISTATS (1) NAACL (1)

Top co-authors

Jihwan Jeong (7) Ali Pesaranghader (6) Michael Gimelfarb (6) Chi-Guhn Lee (5) Armin Toroghi (4) Mohammad Mahdi Abdollah Pour (4) Buser Say (3) Ga Wu (3) Pascal Poupart (3) Edwin V. Bonilla (2)

Keywords

bayesian inference (5) symbolic dynamic programming (4) reinforcement learning (4) utility function (3) commonsense reasoning (2) text detoxification (2) bayesian model combination (2) value of information (2) transition model (2) continuous control (2) contrastive learning (2) deep reinforcement learning (2) transfer learning (2) hybrid planning (2) text generation (2) value function (2) preference elicitation (2) value iteration (2) mixed integer linear programming (2) large language model (2)

Papers

Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions AAAI 2026
Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization AAAI 2026
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking EMNLP 2025
LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases ICLR 2025
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction ICML 2025
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets AAAI 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
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval EMNLP 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
COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification EMNLP 2023
DiffuDetox: A Mixed Diffusion Model for Text Detoxification ACL 2023
Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming AAAI 2023
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization ICLR 2023
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus 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 NIPS 2022
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs AAAI 2022
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions IJCAI 2021
Risk-Aware Transfer in Reinforcement Learning using Successor Features NIPS 2021
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models NIPS 2021
Online Class-Incremental Continual Learning with Adversarial Shapley Value AAAI 2021
Bayesian Experience Reuse for Learning from Multiple Demonstrators IJCAI 2021
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts UAI 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 NIPS 2018
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains NIPS 2017
Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming IJCAI 2017
Practical Linear Models for Large-Scale One-Class Collaborative Filtering IJCAI 2016
A Symbolic Closed-Form Solution to Sequential Market Making with Inventory IJCAI 2016
Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes IJCAI 2013
Algorithms for Direct 0–1 Loss Optimization in Binary Classification ICML 2013
Robust Optimization for Hybrid MDPs with State-Dependent Noise IJCAI 2013
Symbolic Dynamic Programming for Continuous State and Observation POMDPs NIPS 2012
Gaussian Process Preference Elicitation NIPS 2010
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries AISTATS 2010