Scott Sanner
46 papers · 2010–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π§ Keyword Pioneer π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π£ Hot Topic Early Bird
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Hot Topic Early Bird
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Conference Polyglot
(10)
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Academic Marathon
(15)
π§¬
Topic Evolution
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Grand Slam
π
Keyword Champion
β‘
Prolific Year
(6)
π₯
Unstoppable
(5)
π
Trend Setter
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Century Club
(43)
ποΈ
Keyword Collector
(52)
π
Conference Pioneer
Conferences
AAAI (11)
IJCAI (9)
NIPS (7)
EMNLP (5)
ACL (4)
ICML (4)
ICLR (2)
UAI (2)
AISTATS (1)
NAACL (1)
Top co-authors
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
Semantic XPath: Structured Agentic Memory Access for Conversational AI
ACL 2026
Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization
AAAI 2026
LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases
ICLR 2025
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking
EMNLP 2025
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval
EMNLP 2025
Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison
ACL 2025
Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents
ACL 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
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction
ICML 2025
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens
ICML 2025
Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models
NAACL 2024
Bayesian Inference with Complex Knowledge Graph Evidence
AAAI 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
DiffuDetox: A Mixed Diffusion Model for Text Detoxification
ACL 2023
COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification
EMNLP 2023
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization
ICLR 2023
Scalable and Globally Optimal Generalized Lβ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming
AAAI 2023
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus
AAAI 2023
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs
AAAI 2022
Learning to Follow Instructions in Text-Based Games
NIPS 2022
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
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
NIPS 2021
Risk-Aware Transfer in Reinforcement Learning using Successor Features
NIPS 2021
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions
IJCAI 2021
Bayesian Experience Reuse for Learning from Multiple Demonstrators
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
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach
NIPS 2018
Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models
IJCAI 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
Robust Optimization for Hybrid MDPs with State-Dependent Noise
IJCAI 2013
Algorithms for Direct 0β1 Loss Optimization in Binary Classification
ICML 2013
Symbolic Dynamic Programming for Continuous State and Observation POMDPs
NIPS 2012
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries
AISTATS 2010
Gaussian Process Preference Elicitation
NIPS 2010