Scott Sanner

266 papers A* 79A 27B 8C 1Misc 1Journal 108Unranked 37
YearRankTypeTitle / Venue / Authors
2026 A* conf
Efficient Modality Translation via Arbitrary Conditioning and Wasserstein Regularization.
AAAI
Tomás Tokár, Scott Sanner
2026 J jnl
Improving Set Function Approximation with Quasi-Arithmetic Neural Networks.
CoRR
Tomás Tokár, Scott Sanner
2026 J jnl
Large Neighborhood Search meets Iterative Neural Constraint Heuristics.
CoRR
Wei Xu, Wenhao Li, Scott Sanner, Elias B. Khalil
2026 A* conf
Near-optimal Linear Predictive Clustering in Non-separable Spaces via MIP and QPBO Reductions.
AAAI
Jiazhou Liang, Hassan Khurram, Scott Sanner
2026 J jnl
ReBOL: Retrieval via Bayesian Optimization with Batched LLM Relevance Observations and Query Reformulation.
CoRR
Anton Korikov, Scott Sanner
2026 J jnl
Semantic XPath: Structured Agentic Memory Access for Conversational AI.
CoRR
Yifan Simon Liu, Ruifan Wu, Liam Gallagher, Jiazhou Liang, Armin Toroghi, Scott Sanner
2025 J jnl
A Simple but Effective Elaborative Query Reformulation Approach for Natural Language Recommendation.
CoRR
Qianfeng Wen, Yifan Liu, Justin Cui, Joshua Zhang, Anton Korikov, George-Kirollos Saad, Scott Sanner
2025 A* conf
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking.
EMNLP
Anton Korikov, Pan Du, Scott Sanner, Navid Rekabsaz
2025 J jnl
Batched Self-Consistency Improves LLM Relevance Assessment and Ranking.
CoRR
Anton Korikov, Pan Du, Scott Sanner, Navid Rekabsaz
2025 — conf
Bounded-Error Policy Optimization for Mixed Discrete-Continuous MDPs via Constraint Generation in Nonlinear Programming.
CPAIOR (1)
Michael Gimelfarb, Ayal Taitler, Scott Sanner
2025 A* conf
CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge.
SIGIR
Armin Toroghi, Willis Guo, Scott Sanner
2025 J jnl
CoLoTa: A Dataset for Entity-based Commonsense Reasoning over Long-Tail Knowledge.
CoRR
Armin Toroghi, Willis Guo, Scott Sanner
2025 J jnl
Conversational Agents: A Framework for Evaluation (CAFE) (Dagstuhl Perspectives Workshop 24352).
Dagstuhl Manifestos
Christine Bauer, Li Chen, Nicola Ferro, Norbert Fuhr, Avishek Anand, Timo Breuer, Guglielmo Faggioli, Ophir Frieder, Hideo Joho, Jussi Karlgren, Johannes Kiesel, Bart P. Knijnenburg, Aldo Lipani, Lien Michiels, Andrea Papenmeier, Maria Soledad Pera, Mark Sanderson, Scott Sanner, Benno Stein, Johanne R. Trippas, Karin Verspoor, Martijn C. Willemsen
2025 A* conf
GENNEXT: The Next Generation of IR and Recommender Systems with Language Agents, Generative Models, and Conversational AI.
SIGIR
Yashar Deldjoo, Scott Sanner, Enrico Palumbo, Hugues Bouchard, Shuai Zhang, Pablo Castells, Julian J. McAuley
2025 — conf
Getting Ready for Deployment: Transformer-Enabled Robust Adaptive Traffic Signal Control.
ITSC
Xiaoyu Wang, Ilia Smirnov, Scott Sanner, Baher Abdulhai
2025 A* conf
ICE-T: Interactions-aware Cross-column Contrastive Embedding for Heterogeneous Tabular Datasets.
AAAI
Tomás Tokár, Scott Sanner
2025 A* conf
LLM-based Typed Hyperresolution for Commonsense Reasoning with Knowledge Bases.
ICLR
Armin Toroghi, Ali Pesaranghader, Tanmana Sadhu, Scott Sanner
2025 A* conf
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval.
EMNLP
Yifan Liu, Qianfeng Wen, Mark Zhao, Jiazhou Liang, Scott Sanner
2025 J jnl
MA-DPR: Manifold-aware Distance Metrics for Dense Passage Retrieval.
CoRR
Yifan Liu, Qianfeng Wen, Mark Zhao, Jiazhou Liang, Scott Sanner
2025 J jnl
Manifesto from Dagstuhl Perspectives Workshop 24352 - Conversational Agents: A Framework for Evaluation (CAFE).
CoRR
Christine Bauer, Li Chen, Nicola Ferro, Norbert Fuhr, Avishek Anand, Timo Breuer, Guglielmo Faggioli, Ophir Frieder, Hideo Joho, Jussi Karlgren, Johannes Kiesel, Bart P. Knijnenburg, Aldo Lipani, Lien Michiels, Andrea Papenmeier, Maria Soledad Pera, Mark Sanderson, Scott Sanner, Benno Stein, Johanne R. Trippas, Karin Verspoor, Martijn C. Willemsen
2025 A* conf
ModelDiff: Symbolic Dynamic Programming for Model-Aware Policy Transfer in Deep Q-Learning.
AAAI
Xiaotian Liu, Jihwan Jeong, Ayal Taitler, Michael Gimelfarb, Scott Sanner
2025 J jnl
Multimodal Item Scoring for Natural Language Recommendation via Gaussian Process Regression with LLM Relevance Judgments.
CoRR
Yifan Liu, Qianfeng Wen, Jiazhou Liang, Mark Zhao, Justin Cui, Anton Korikov, Armin Toroghi, Junyoung Kim, Scott Sanner
2025 J jnl
Near-optimal Linear Predictive Clustering in Non-separable Spaces via Mixed Integer Programming and Quadratic Pseudo-Boolean Reductions.
CoRR
Jiazhou Liang, Hassan Khurram, Scott Sanner
2025 — conf
Open-World Planning via Lifted Regression with LLM-Inferred Affordances for Embodied Agents.
ACL (1)
Xiaotian Liu, Ali Pesaranghader, Hanze Li, Punyaphat Sukcharoenchaikul, Jaehong Kim, Tanmana Sadhu, Hyejeong Jeon, Scott Sanner
2025 — conf
Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison.
ACL (Findings)
George-Kirollos Saad, Scott Sanner
2025 J jnl
Q-STRUM Debate: Query-Driven Contrastive Summarization for Recommendation Comparison.
CoRR
George-Kirollos Saad, Scott Sanner
2025 A* conf
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens.
ICML
Jihwan Jeong, Xiaoyu Wang, Jingmin Wang, Scott Sanner, Pascal Poupart
2025 J jnl
Reflect-then-Plan: Offline Model-Based Planning through a Doubly Bayesian Lens.
CoRR
Jihwan Jeong, Xiaoyu Wang, Jingmin Wang, Scott Sanner, Pascal Poupart
2025 A* conf
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction.
ICML
Yudong Xu, Wenhao Li, Scott Sanner, Elias Boutros Khalil
2025 J jnl
Self-Supervised Transformers as Iterative Solution Improvers for Constraint Satisfaction.
CoRR
Yudong W. Xu, Wenhao Li, Scott Sanner, Elias B. Khalil
2025 J jnl
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects.
Trans. Mach. Learn. Res.
Wenhao Li, Yudong Xu, Scott Sanner, Elias Boutros Khalil
2025 A conf
Tutorial on Recommendation with Generative Models (Gen-RecSys).
WSDM
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2025 J jnl
VOGUE: A Multimodal Dataset for Conversational Recommendation in Fashion.
CoRR
David Guo, Minqi Sun, Yilun Jiang, Jiazhou Liang, Scott Sanner
2024 A* conf
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys).
KDD
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024 J jnl
A Review of Modern Recommender Systems Using Generative Models (Gen-RecSys).
CoRR
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano
2024 A* conf
Bayesian Inference with Complex Knowledge Graph Evidence.
AAAI
Armin Toroghi, Scott Sanner
2024 A conf
Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation.
RecSys
David Eric Austin, Anton Korikov, Armin Toroghi, Scott Sanner
2024 J jnl
Bayesian Optimization with LLM-Based Acquisition Functions for Natural Language Preference Elicitation.
CoRR
David Eric Austin, Anton Korikov, Armin Toroghi, Scott Sanner
2024 J jnl
Bayesian network Motifs for reasoning over heterogeneous unlinked datasets.
Data Min. Knowl. Discov.
Yi Sui, Alex Kwan, Alexander W. Olson, Scott Sanner, Daniel A. Silver
2024 J jnl
CR-LT-KGQA: A Knowledge Graph Question Answering Dataset Requiring Commonsense Reasoning and Long-Tail Knowledge.
CoRR
Willis Guo, Armin Toroghi, Scott Sanner
2024 J jnl
Constraint-Generation Policy Optimization (CGPO): Nonlinear Programming for Policy Optimization in Mixed Discrete-Continuous MDPs.
CoRR
Michael Gimelfarb, Ayal Taitler, Scott Sanner
2024 J jnl
Elaborative Subtopic Query Reformulation for Broad and Indirect Queries in Travel Destination Recommendation.
CoRR
Qianfeng Wen, Yifan Liu, Joshua Zhang, George Saad, Anton Korikov, Yury Sambale, Scott Sanner
2024 — conf
Gaussian Process Optimization for Adaptable Multi-Objective Text Generation using Linearly-Weighted Language Models.
NAACL-HLT (Findings)
Mohammad Mahdi Abdollah Pour, Ali Pesaranghader, Eldan Cohen, Scott Sanner
2024 J jnl
Generalized Multi-hop Traffic Pressure for Heterogeneous Traffic Perimeter Control.
CoRR
Xiaocan Li, Xiaoyu Wang, Ilia Smirnov, Scott Sanner, Baher Abdulhai
2024 A* conf
JaxPlan and GurobiPlan: Optimization Baselines for Replanning in Discrete and Mixed Discrete-Continuous Probabilistic Domains.
ICAPS
Michael Gimelfarb, Ayal Taitler, Scott Sanner
2024 J jnl
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations.
Trans. Mach. Learn. Res.
Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias Boutros Khalil
2024 J jnl
Large Language Model Driven Recommendation.
CoRR
Anton Korikov, Scott Sanner, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Arnau Ramisa, René Vidal, Mahesh Sathiamoorthy, Atoosa Kasirzadeh, Silvia Milano, Francesco Ricci
2024 J jnl
Mitigating Partial Observability in Adaptive Traffic Signal Control with Transformers.
CoRR
Xiaoyu Wang, Ayal Taitler, Scott Sanner, Baher Abdulhai
2024 — conf
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion.
IR-RAG@SIGIR
Anton Korikov, George Saad, Ethan Baron, Mustafa Khan, Manav Shah, Scott Sanner
2024 J jnl
Multi-Aspect Reviewed-Item Retrieval via LLM Query Decomposition and Aspect Fusion.
CoRR
Anton Korikov, George Saad, Ethan Baron, Mustafa Khan, Manav Shah, Scott Sanner
2024 J jnl
Multi-hop Upstream Preemptive Traffic Signal Control with Deep Reinforcement Learning.
CoRR
Xiaocan Li, Xiaoyu Wang, Ilia Smirnov, Scott Sanner, Baher Abdulhai
2024 J jnl
Multi-modal Generative Models in Recommendation System.
CoRR
Arnau Ramisa, René Vidal, Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Mahesh Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci
2024 J jnl
Recommendation with Generative Models.
CoRR
Yashar Deldjoo, Zhankui He, Julian J. McAuley, Anton Korikov, Scott Sanner, Arnau Ramisa, René Vidal, Maheswaran Sathiamoorthy, Atoosa Kasrizadeh, Silvia Milano, Francesco Ricci
2024 A* conf
Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking.
SIGIR
Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner
2024 J jnl
Retrieval-Augmented Conversational Recommendation with Prompt-based Semi-Structured Natural Language State Tracking.
CoRR
Sara Kemper, Justin Cui, Kai Dicarlantonio, Kathy Lin, Danjie Tang, Anton Korikov, Scott Sanner
2024 A* conf
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering.
EMNLP
Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner
2024 J jnl
Right for Right Reasons: Large Language Models for Verifiable Commonsense Knowledge Graph Question Answering.
CoRR
Armin Toroghi, Willis Guo, Mohammad Mahdi Abdollah Pour, Scott Sanner
2024 J jnl
Tackling the Abstraction and Reasoning Corpus with Vision Transformers: the Importance of 2D Representation, Positions, and Objects.
CoRR
Wenhao Li, Yudong Xu, Scott Sanner, Elias Boutros Khalil
2024 A conf
The 1st International Workshop on Risks, Opportunities, and Evaluation of Generative Models in Recommendation (ROEGEN).
RecSys
Yashar Deldjoo, Julian J. McAuley, Scott Sanner, Pablo Castells, Shuai Zhang, Enrico Palumbo
2024 J jnl
The 2023 International Planning Competition.
AI Mag.
Ayal Taitler, Ron Alford, Joan Espasa, Gregor Behnke, Daniel Fiser, Michael Gimelfarb, Florian Pommerening, Scott Sanner, Enrico Scala, Dominik Schreiber, Javier Segovia-Aguas, Jendrik Seipp
2024 J jnl
User Experience and the Role of Personalization in Critiquing-Based Conversational Recommendation.
ACM Trans. Web
Arpit Rana, Scott Sanner, Mohamed Reda Bouadjenek, Ronald Di Carlantonio, Gary Farmaner
2024 A* conf
Verifiable, Debuggable, and Repairable Commonsense Logical Reasoning via LLM-based Theory Resolution.
EMNLP
Armin Toroghi, Willis Guo, Ali Pesaranghader, Scott Sanner
2024 J jnl
eMARLIN+: Addressing Partial Observability to Promote Traffic Signal Coordination by Leveraging Historical Information.
IEEE Trans. Intell. Transp. Syst.
Xiaoyu Wang, Ayal Taitler, Ilia Smirnov, Scott Sanner, Baher Abdulhai
2023 — conf
A Case for Monte Carlo Tree Search in Adaptive Traffic Signal Control: Modifiability, Interpretability and Generalization.
ITSC
Ilia Smirnov, Scott Sanner, Baher Abdulhai
2023 J jnl
A Generalized Framework for Predictive Clustering and Optimization.
CoRR
Aravinth Chembu, Scott Sanner
2023 B conf
A Mixed-Integer Linear Programming Reduction of Disjoint Bilinear Programs via Symbolic Variable Elimination.
CPAIOR
Jihwan Jeong, Scott Sanner, Akshat Kumar
2023 J jnl
A User-Centric Analysis of Social Media for Stock Market Prediction.
ACM Trans. Web
Mohamed Reda Bouadjenek, Scott Sanner, Ga Wu
2023 A* conf
Bayesian Knowledge-driven Critiquing with Indirect Evidence.
SIGIR
Armin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner
2023 J jnl
Bayesian Knowledge-driven Critiquing with Indirect Evidence.
CoRR
Armin Toroghi, Griffin Floto, Zhenwei Tang, Scott Sanner
2023 — conf
COUNT: COntrastive UNlikelihood Text Style Transfer for Text Detoxification.
EMNLP (Findings)
Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Manasa Bharadwaj, Nikhil Verma, Ali Pesaranghader, Scott Sanner
2023 A* conf
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization.
ICLR
Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner
2023 — conf
DiffuDetox: A Mixed Diffusion Model for Text Detoxification.
ACL (Findings)
Griffin Floto, Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Zhenwei Tang, Ali Pesaranghader, Manasa Bharadwaj, Scott Sanner
2023 J jnl
DiffuDetox: A Mixed Diffusion Model for Text Detoxification.
CoRR
Griffin Floto, Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Zhenwei Tang, Ali Pesaranghader, Manasa Bharadwaj, Scott Sanner
2023 J jnl
Diffusion on the Probability Simplex.
CoRR
Griffin Floto, Thorsteinn Jonsson, Mihai Nica, Scott Sanner, Eric Zhengyu Zhu
2023 A* conf
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus.
AAAI
Yudong Xu, Elias B. Khalil, Scott Sanner
2023 J jnl
LLMs and the Abstraction and Reasoning Corpus: Successes, Failures, and the Importance of Object-based Representations.
CoRR
Yudong Xu, Wenhao Li, Pashootan Vaezipoor, Scott Sanner, Elias B. Khalil
2023 A conf
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences.
RecSys
Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon
2023 J jnl
Large Language Models are Competitive Near Cold-start Recommenders for Language- and Item-based Preferences.
CoRR
Scott Sanner, Krisztian Balog, Filip Radlinski, Ben Wedin, Lucas Dixon
2023 A* conf
LogicRec: Recommendation with Users' Logical Requirements.
SIGIR
Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner
2023 J jnl
LogicRec: Recommendation with Users' Logical Requirements.
CoRR
Zhenwei Tang, Griffin Floto, Armin Toroghi, Shichao Pei, Xiangliang Zhang, Scott Sanner
2023 — conf
Perimeter Control Using Deep Reinforcement Learning: A Model-Free Approach Towards Homogeneous Flow Rate Optimization.
ITSC
Xiaocan Li, Ray Coden Mercurius, Ayal Taitler, Xiaoyu Wang, Mohammad Noaeen, Scott Sanner, Baher Abdulhai
2023 J jnl
Perimeter Control Using Deep Reinforcement Learning: A Model-free Approach towards Homogeneous Flow Rate Optimization.
CoRR
Xiaocan Li, Ray Coden Mercurius, Ayal Taitler, Xiaoyu Wang, Mohammad Noaeen, Scott Sanner, Baher Abdulhai
2023 A* conf
Recipe-MPR: A Test Collection for Evaluating Multi-aspect Preference-based Natural Language Retrieval.
SIGIR
Haochen Zhang, Anton Korikov, Parsa Farinneya, Mohammad Mahdi Abdollah Pour, Manasa Bharadwaj, Ali Pesaranghader, Xi Yu Huang, Yi Xin Lok, Zhaoqi Wang, Nathan Jones, Scott Sanner
2023 J jnl
Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction.
CoRR
Ta Jiun Ting, Xiaocan Li, Scott Sanner, Baher Abdulhai
2023 A* conf
Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects.
ICAPS
Siow Meng Low, Akshat Kumar, Scott Sanner
2023 J jnl
Safe MDP Planning by Learning Temporal Patterns of Undesirable Trajectories and Averting Negative Side Effects.
CoRR
Siow Meng Low, Akshat Kumar, Scott Sanner
2023 J jnl
Scalable Analysis of Probabilistic Models and Programs (Dagstuhl Seminar 23241).
Dagstuhl Reports
Sebastian Junges, Joost-Pieter Katoen, Scott Sanner, Guy Van den Broeck, Bahare Salmani
2023 A* conf
Scalable and Globally Optimal Generalized L₁ K-center Clustering via Constraint Generation in Mixed Integer Linear Programming.
AAAI
Aravinth Chembu, Scott Sanner, Hassan Khurram, Akshat Kumar
2023 B conf
Scalable and Near-Optimal ε-Tube Clusterwise Regression.
CPAIOR
Aravinth Chembu, Scott Sanner, Elias B. Khalil
2023 J jnl
Self-Supervised Contrastive BERT Fine-tuning for Fusion-based Reviewed-Item Retrieval.
CoRR
Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi, Anton Korikov, Ali Pesaranghader, Touqir Sajed, Manasa Bharadwaj, Borislav Mavrin, Scott Sanner
2023 — conf
Self-supervised Contrastive BERT Fine-tuning for Fusion-Based Reviewed-Item Retrieval.
ECIR (1)
Mohammad Mahdi Abdollah Pour, Parsa Farinneya, Armin Toroghi, Anton Korikov, Ali Pesaranghader, Touqir Sajed, Manasa Bharadwaj, Borislav Mavrin, Scott Sanner
2023 Misc conf
Towards Dialogue Modeling Beyond Text.
ICASSP
Tongzi Wu, Yuhao Zhou, Wang Ling, Hojin Yang, Joana Veloso, Lin Sun, Ruixin Huang, Norberto Guimaraes, Scott Sanner
2023 J jnl
Towards understanding and mitigating unintended biases in language model-driven conversational recommendation.
Inf. Process. Manag.
Tianshu Shen, Jiaru Li, Mohamed Reda Bouadjenek, Zheda Mai, Scott Sanner
2023 J jnl
TransCAM: Transformer attention-based CAM refinement for Weakly supervised semantic segmentation.
J. Vis. Commun. Image Represent.
Ruiwen Li, Zheda Mai, Zhibo Zhang, Jongseong Jang, Scott Sanner
2023 — conf
eMARLIN+: Overcoming Partial-Observability Caused by Sensor Limitations and Short Detection Ranges in Traffic Signal Control.
ITSC
Xiaoyu Wang, Ayal Taitler, Ilia Smirnov, Scott Sanner, Baher Abdulhai
2022 J jnl
A Critical Review of Traffic Signal Control and A Novel Unified View of Reinforcement Learning and Model Predictive Control Approaches for Adaptive Traffic Signal Control.
CoRR
Xiaoyu Wang, Scott Sanner, Baher Abdulhai
2022 A* conf
A Distributional Framework for Risk-Sensitive End-to-End Planning in Continuous MDPs.
AAAI
Noah Patton, Jihwan Jeong, Mike Gimelfarb, Scott Sanner
2022 J jnl
A longitudinal study of topic classification on Twitter.
PeerJ Comput. Sci.
Mohamed Reda Bouadjenek, Scott Sanner, Zahra Iman, Lexing Xie, Daniel Xiaoliang Shi
2022 A* conf
An Exact Symbolic Reduction of Linear Smart Predict+Optimize to Mixed Integer Linear Programming.
ICML
Jihwan Jeong, Parth Jaggi, Andrew Butler, Scott Sanner
2022 J jnl
Arbitrary conditional inference in variational autoencoders via fast prior network training.
Mach. Learn.
Ga Wu, Justin Domke, Scott Sanner
2022 J jnl
Conservative Bayesian Model-Based Value Expansion for Offline Policy Optimization.
CoRR
Jihwan Jeong, Xiaoyu Wang, Michael Gimelfarb, Hyunwoo Kim, Baher Abdulhai, Scott Sanner
2022 A* conf
Distributional Contrastive Embedding for Clarification-based Conversational Critiquing.
WWW
Tianshu Shen, Zheda Mai, Ga Wu, Scott Sanner
2022 J jnl
Graphs, Constraints, and Search for the Abstraction and Reasoning Corpus.
CoRR
Yudong Xu, Elias B. Khalil, Scott Sanner
2022 A* conf
Learning to Follow Instructions in Text-Based Games.
NeurIPS
Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith
2022 J jnl
Learning to Follow Instructions in Text-Based Games.
CoRR
Mathieu Tuli, Andrew C. Li, Pashootan Vaezipoor, Toryn Q. Klassen, Scott Sanner, Sheila A. McIlraith
2022 A* conf
Mitigating the Filter Bubble While Maintaining Relevance: Targeted Diversification with VAE-based Recommender Systems.
SIGIR
Zhaolin Gao, Tianshu Shen, Zheda Mai, Mohamed Reda Bouadjenek, Isaac Waller, Ashton Anderson, Ron Bodkin, Scott Sanner
2022 J jnl
Online continual learning in image classification: An empirical survey.
Neurocomputing
Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner
2022 A* conf
Sample-Efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs.
AAAI
Siow Meng Low, Akshat Kumar, Scott Sanner
2022 J jnl
Sample-efficient Iterative Lower Bound Optimization of Deep Reactive Policies for Planning in Continuous MDPs.
CoRR
Siow Meng Low, Akshat Kumar, Scott Sanner
2022 J jnl
TransCAM: Transformer Attention-based CAM Refinement for Weakly Supervised Semantic Segmentation.
CoRR
Ruiwen Li, Zheda Mai, Chiheb Trabelsi, Zhibo Zhang, Jongseong Jang, Scott Sanner
2022 J jnl
Unintended Bias in Language Model-driven Conversational Recommendation.
CoRR
Tianshu Shen, Jiaru Li, Mohamed Reda Bouadjenek, Zheda Mai, Scott Sanner
2022 B conf
What's in a (Data) Type? Meaningful Type Safety for Data Science.
RCIS
Riley Moher, Michael Gruninger, Scott Sanner
2022 J jnl
pyRDDLGym: From RDDL to Gym Environments.
CoRR
Ayal Taitler, Michael Gimelfarb, Sriram Gopalakrishnan, Xiaotian Liu, Scott Sanner
2021 J jnl
A Deep Learning-Based Cyberattack Detection System for Transmission Protective Relays.
IEEE Trans. Smart Grid
Yew Meng Khaw, Amir Abiri Jahromi, Mohammadreza Fakhari Moghaddam Arani, Scott Sanner, Deepa Kundur, Marthe Kassouf
2021 A* conf
A Workflow Analysis of Context-driven Conversational Recommendation.
WWW
Shengnan Lyu, Arpit Rana, Scott Sanner, Mohamed Reda Bouadjenek
2021 A* conf
Bayesian Critiquing with Keyphrase Activation Vectors for VAE-based Recommender Systems.
SIGIR
Hojin Yang, Tianshu Shen, Scott Sanner
2021 A* conf
Bayesian Experience Reuse for Learning from Multiple Demonstrators.
IJCAI
Mike Gimelfarb, Scott Sanner, Chi-Guhn Lee
2021 A conf
Bayesian Preference Elicitation with Keyphrase-Item Coembeddings for Interactive Recommendation.
UMAP
Hojin Yang, Scott Sanner, Ga Wu, Jin Peng Zhou
2021 A conf
Contextual policy transfer in reinforcement learning domains via deep mixtures-of-experts.
UAI
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
2021 J jnl
EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment.
CoRR
Ruiwen Li, Zhibo Zhang, Jiani Li, Scott Sanner, Jongseong Jang, Yeonjeong Jeong, Dongsub Shim
2021 J jnl
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification.
CoRR
Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi, Ruiwen Li, Scott Sanner, Yeonjeong Jeong, Dongsub Shim
2021 — conf
Microscopic Model-Based RL Approaches for Traffic Signal Control Generalize Better than Model-Free RL Approaches.
ITSC
Parth Jaggi, Xiaoyu Wang, Nicolas Carrara, Scott Sanner, Baher Abdulhai
2021 J jnl
Multi-axis Attentive Prediction for Sparse EventData: An Application to Crime Prediction.
CoRR
Yi Sui, Ga Wu, Scott Sanner
2021 A* conf
Online Class-Incremental Continual Learning with Adversarial Shapley Value.
AAAI
Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
2021 J jnl
Online Continual Learning in Image Classification: An Empirical Survey.
CoRR
Zheda Mai, Ruiwen Li, Jihwan Jeong, David Quispe, Hyunwoo Kim, Scott Sanner
2021 J jnl
Planning with Learned Binarized Neural Networks Benchmarks for MaxSAT Evaluation 2021.
CoRR
Buser Say, Scott Sanner, Jo Devriendt, Jakob Nordström, Peter J. Stuckey
2021 J jnl
RAPTOR: End-to-end Risk-Aware MDP Planning and Policy Learning by Backpropagation.
CoRR
Noah Patton, Jihwan Jeong, Michael Gimelfarb, Scott Sanner
2021 A* conf
Representer Point Selection via Local Jacobian Expansion for Post-hoc Classifier Explanation of Deep Neural Networks and Ensemble Models.
NeurIPS
Yi Sui, Ga Wu, Scott Sanner
2021 — conf
Revisiting Random Forests in a Comparative Evaluation of Graph Convolutional Neural Network Variants for Traffic Prediction.
ITSC
Ta Jiun Ting, Xiaocan Li, Scott Sanner, Baher Abdulhai
2021 A* conf
Risk-Aware Transfer in Reinforcement Learning using Successor Features.
NeurIPS
Michael Gimelfarb, André Barreto, Scott Sanner, Chi-Guhn Lee
2021 J jnl
Risk-Aware Transfer in Reinforcement Learning using Successor Features.
CoRR
Michael Gimelfarb, André Barreto, Scott Sanner, Chi-Guhn Lee
2021 — conf
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning.
CVPR Workshops
Zheda Mai, Ruiwen Li, Hyunwoo Kim, Scott Sanner
2021 J jnl
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning.
CoRR
Zheda Mai, Ruiwen Li, Hyunwoo Kim, Scott Sanner
2021 A* conf
Symbolic Dynamic Programming for Continuous State MDPs with Linear Program Transitions.
IJCAI
Jihwan Jeong, Parth Jaggi, Scott Sanner
2020 A conf
A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems.
RecSys
Hanze Li, Scott Sanner, Kai Luo, Ga Wu
2020 J jnl
A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams.
Expert Syst. Appl.
Dusan Sovilj, Paul Budnarain, Scott Sanner, Geoff Salmon, Mohan Rao
2020 J jnl
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning.
CoRR
Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
2020 — conf
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering.
ICDM (Workshops)
Zheda Mai, Ga Wu, Kai Luo, Scott Sanner
2020 J jnl
Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering.
CoRR
Zheda Mai, Ga Wu, Kai Luo, Scott Sanner
2020 J jnl
Batch-level Experience Replay with Review for Continual Learning.
CoRR
Zheda Mai, Hyunwoo Kim, Jihwan Jeong, Scott Sanner
2020 J jnl
Bayesian Experience Reuse for Learning from Multiple Demonstrators.
CoRR
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
2020 J jnl
Bayesian Networks for Data Integration in the Absence of Foreign Keys.
IEEE Trans. Knowl. Data Eng.
Bohan Zhang, Scott Sanner, Mohamed Reda Bouadjenek, Shagun Gupta
2020 J jnl
Compact and efficient encodings for planning in factored state and action spaces with learned Binarized Neural Network transition models.
Artif. Intell.
Buser Say, Scott Sanner
2020 J jnl
Contextual Policy Reuse using Deep Mixture Models.
CoRR
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
2020 A* conf
Deep Critiquing for VAE-based Recommender Systems.
SIGIR
Kai Luo, Hojin Yang, Ga Wu, Scott Sanner
2020 A* conf
Latent Linear Critiquing for Conversational Recommender Systems.
WWW
Kai Luo, Scott Sanner, Ga Wu, Hanze Li, Hojin Yang
2020 J jnl
Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering.
CoRR
Jin Peng Zhou, Ga Wu, Zheda Mai, Scott Sanner
2020 J jnl
Relevance- and interface-driven clustering for visual information retrieval.
Inf. Syst.
Mohamed Reda Bouadjenek, Scott Sanner, Yihao Du
2020 J jnl
Scalable Planning with Deep Neural Network Learned Transition Models.
J. Artif. Intell. Res.
Ga Wu, Buser Say, Scott Sanner
2020 J jnl
ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning.
CoRR
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
2019 A conf
A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification.
SDM
Yakun Wang, Ga Wu, Mohamed Reda Bouadjenek, Scott Sanner, Sen Su, Zhongbao Zhang
2019 A* conf
Deep Reactive Policies for Planning in Stochastic Nonlinear Domains.
AAAI
Thiago Pereira Bueno, Leliane N. de Barros, Denis Deratani Mauá, Scott Sanner
2019 A conf
Deep language-based critiquing for recommender systems.
RecSys
Ga Wu, Kai Luo, Scott Sanner, Harold Soh
2019 A conf
Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning.
UAI
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
2019 B conf
Metric Hybrid Factored Planning in Nonlinear Domains with Constraint Generation.
CPAIOR
Buser Say, Scott Sanner
2019 A* conf
Noise Contrastive Estimation for One-Class Collaborative Filtering.
SIGIR
Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai
2019 A* conf
One-Class Collaborative Filtering with the Queryable Variational Autoencoder.
SIGIR
Ga Wu, Mohamed Reda Bouadjenek, Scott Sanner
2019 J jnl
Optimizing Search API Queries for Twitter Topic Classifiers Using a Maximum Set Coverage Approach.
CoRR
Kasra Safari, Scott Sanner
2019 — conf
Preventing False Tripping Cyberattacks Against Distance Relays: A Deep Learning Approach.
SmartGridComm
Yew Meng Khaw, Amir Abiri Jahromi, Mohammadreza Fakhari Moghaddam Arani, Deepa Kundur, Scott Sanner, Marthe Kassouf
2019 B conf
Relevance-driven Clustering for Visual Information Retrieval on Twitter.
CHIIR
Mohamed Reda Bouadjenek, Scott Sanner
2019 A conf
Reward Potentials for Planning with Learned Neural Network Transition Models.
CP
Buser Say, Scott Sanner, Sylvie Thiébaux
2019 J jnl
Reward Potentials for Planning with Learned Neural Network Transition Models.
CoRR
Buser Say, Scott Sanner, Sylvie Thiébaux
2019 J jnl
Scalable Nonlinear Planning with Deep Neural Network Learned Transition Models.
CoRR
Ga Wu, Buser Say, Scott Sanner
2018 J jnl
Aesthetic Features for Personalized Photo Recommendation.
CoRR
Yu Qing Zhou, Ga Wu, Scott Sanner, Putra Manggala
2018 A conf
Collaborative Filtering with Behavioral Models.
UMAP
Dusan Sovilj, Scott Sanner, Harold Soh, Hanze Li
2018 J jnl
Compact and Efficient Encodings for Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models.
CoRR
Buser Say, Scott Sanner
2018 J jnl
Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding.
CoRR
Ga Wu, Justin Domke, Scott Sanner
2018 A* conf
Efficient Symbolic Integration for Probabilistic Inference.
IJCAI
Samuel Kolb, Martin Mladenov, Scott Sanner, Vaishak Belle, Kristian Kersting
2018 J jnl
Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity.
Hum. Factors
Sean W. Kortschot, Dusan Sovilj, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Harold Soh
2018 J jnl
Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering.
CoRR
Ga Wu, Maksims Volkovs, Chee Loong Soon, Scott Sanner, Himanshu Rai
2018 A* conf
Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models.
IJCAI
Buser Say, Scott Sanner
2018 A* conf
Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach.
NeurIPS
Michael Gimelfarb, Scott Sanner, Chi-Guhn Lee
2018 B conf
Symbolic Bucket Elimination for Piecewise Continuous Constrained Optimization.
CPAIOR
Zhijiang Ye, Buser Say, Scott Sanner
2018 — conf
Two-stage Model for Automatic Playlist Continuation at Scale.
RecSys Challenge
Maksims Volkovs, Himanshu Rai, Zhaoyue Cheng, Ga Wu, Yichao Lu, Scott Sanner
2017 A conf
A Longitudinal Study of Topic Classification on Twitter.
ICWSM
Zahra Iman, Scott Sanner, Mohamed Reda Bouadjenek, Lexing Xie
2017 — conf
A virtual marketplace for goods and services for people with social needs.
IHTC
Daniela Rosu, Dionne M. Aleman, J. Christopher Beck, Mark H. Chignell, Mariano P. Consens, Mark S. Fox, Michael Gruninger, Chang Liu, Yi Ru, Scott Sanner
2017 B conf
An open source adaptive user interface for network monitoring.
SMC
Sean W. Kortschot, Dusan Sovilj, Harold Soh, Greg A. Jamieson, Scott Sanner, Chelsea Carrasco, Scott Ralph, Scott Langevin
2017 A* conf
Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs.
ICAPS
Shamin Kinathil, Harold Soh, Scott Sanner
2017 A conf
Deep Sequential Recommendation for Personalized Adaptive User Interfaces.
IUI
Harold Soh, Scott Sanner, Madeleine White, Greg A. Jamieson
2017 A* conf
Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity.
WWW
Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner, Manuel Cebrián, Honglin Yu, Pascal Van Hentenryck
2017 A* conf
Hindsight Optimization for Hybrid State and Action MDPs.
AAAI
Aswin Raghavan, Scott Sanner, Roni Khardon, Prasad Tadepalli, Alan Fern
2017 — conf
Knowledge-Based Provision of Goods and Services for People with Social Needs: Towards a Virtual Marketplace.
AAAI Workshops
Daniela Rosu, Dionne M. Aleman, J. Christopher Beck, Mark H. Chignell, Mariano P. Consens, Mark S. Fox, Michael Gruninger, Chang Liu, Yi Ru, Scott Sanner
2017 — conf
Knowledge-Based Provisioning of Goods and Services: Towards a Virtual Social Needs Marketplace.
AAAI Spring Symposia
Daniela Rosu, Dionne M. Aleman, J. Christopher Beck, Mark H. Chignell, Mariano P. Consens, Mark S. Fox, Michael Gruninger, Chang Liu, Yi Ru, Scott Sanner
2017 A* conf
Low-Rank Linear Cold-Start Recommendation from Social Data.
AAAI
Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie, Darius Braziunas
2017 B conf
Non-Markovian Rewards Expressed in LTL: Guiding Search Via Reward Shaping.
SOCS
Alberto Camacho, Oscar Chen, Scott Sanner, Sheila A. McIlraith
2017 A* conf
Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming.
IJCAI
Buser Say, Ga Wu, Yu Qing Zhou, Scott Sanner
2017 — conf
Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes.
AAAI Workshops
Shamin Kinathil, Harold Soh, Scott Sanner
2017 J jnl
Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.
AI Mag.
Monica Anderson, Roman Barták, John S. Brownstein, David L. Buckeridge, Hoda Eldardiry, Christopher W. Geib, Maria L. Gini, Aaron Isaksen, Sarah Keren, Robert Laddaga, Viliam Lisý, Rodney Martin, David R. Martinez, Martin Michalowski, Loizos Michael, Reuth Mirsky, Thanh Hai Nguyen, Michael J. Paul, Enrico Pontelli, Scott Sanner, Arash Shaban-Nejad, Arunesh Sinha, Shirin Sohrabi, Kumar Sricharan, Biplav Srivastava, Mark Stefik, William W. Streilein, Nathan R. Sturtevant, Kartik Talamadupula, Michael Thielscher, Julian Togelius, Tran Cao Son, Long Tran-Thanh, Neal Wagner, Byron C. Wallace, Szymon Wilk, Jichen Zhu
2017 — conf
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains.
NIPS
Ga Wu, Buser Say, Scott Sanner
2017 J jnl
Scalable Planning with Tensorflow for Hybrid Nonlinear Domains.
CoRR
Ga Wu, Buser Say, Scott Sanner
2017 J jnl
Stochastic Planning and Lifted Inference.
CoRR
Roni Khardon, Scott Sanner
2017 — ch.
Symbolic Dynamic Programming.
Encyclopedia of Machine Learning and Data Mining
Scott Sanner, Kristian Kersting
2016 A* conf
A Symbolic Closed-Form Solution to Sequential Market Making with Inventory.
IJCAI
Shamin Kinathil, Scott Sanner, Sanmay Das, Nicolás Della Penna
2016 J jnl
Can this video be promoted? - Endogenous and exogenous popularity processes in social media.
CoRR
Marian-Andrei Rizoiu, Lexing Xie, Scott Sanner, Manuel Cebrián, Honglin Yu, Pascal Van Hentenryck
2016 A* conf
Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints.
AAAI
Hadi Mohasel Afshar, Scott Sanner, Christfried Webers
2016 A* conf
On the Effectiveness of Linear Models for One-Class Collaborative Filtering.
AAAI
Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Darius Braziunas
2016 J jnl
On the Mathematical Relationship between Expected n-call@k and the Relevance vs. Diversity Trade-off.
CoRR
Kar Wai Lim, Scott Sanner, Shengbo Guo
2016 — ed.
Planning for Hybrid Systems, Papers from the 2016 AAAI Workshop, Phoenix, Arizona, USA, February 13, 2016.
AAAI Workshop: Planning for Hybrid Systems
Daniele Magazzeni, Scott Sanner, Sylvie Thiébaux
2016 A* conf
Practical Linear Models for Large-Scale One-Class Collaborative Filtering.
IJCAI
Suvash Sedhain, Hung Bui, Jaya Kawale, Nikos Vlassis, Branislav Kveton, Aditya Krishna Menon, Trung Bui, Scott Sanner
2016 A* ed.
Proceedings of the Twenty-Sixth International Conference on Automated Planning and Scheduling, ICAPS 2016, London, UK, June 12-17, 2016.
ICAPS
Amanda Jane Coles, Andrew Coles, Stefan Edelkamp, Daniele Magazzeni, Scott Sanner
2016 J jnl
Real-time dynamic programming for Markov decision processes with imprecise probabilities.
Artif. Intell.
Karina Valdivia Delgado, Leliane N. de Barros, Daniel B. Dias, Scott Sanner
2015 C conf
A study of query reformulation for patent prior art search with partial patent applications.
ICAIL
Mohamed Reda Bouadjenek, Scott Sanner, Gabriela Ferraro
2015 — conf
AutoRec: Autoencoders Meet Collaborative Filtering.
WWW (Companion Volume)
Suvash Sedhain, Aditya Krishna Menon, Scott Sanner, Lexing Xie
2015 A* conf
Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time.
AAAI
Ga Wu, Scott Sanner, Rodrigo F. S. C. Oliveira
2015 — conf
Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages.
PAKDD (1)
Khoi-Nguyen Tran, Peter Christen, Scott Sanner, Lexing Xie
2015 A* conf
Linear-Time Gibbs Sampling in Piecewise Graphical Models.
AAAI
Hadi Mohasel Afshar, Scott Sanner, Ehsan Abbasnejad
2015 A* conf
Loss-Calibrated Monte Carlo Action Selection.
AAAI
Ehsan Abbasnejad, Justin Domke, Scott Sanner
2015 A* conf
On Term Selection Techniques for Patent Prior Art Search.
SIGIR
Mona Golestan Far, Scott Sanner, Mohamed Reda Bouadjenek, Gabriela Ferraro, David Hawking
2015 A* conf
Real-Time Symbolic Dynamic Programming.
AAAI
Luis Gustavo Rocha Vianna, Leliane N. de Barros, Scott Sanner
2015 J jnl
The 2014 International Planning Competition: Progress and Trends.
AI Mag.
Mauro Vallati, Lukás Chrpa, Marek Grzes, Thomas Leo McCluskey, Mark Roberts, Scott Sanner
2015 A conf
The Lifecyle of a Youtube Video: Phases, Content and Popularity.
ICWSM
Honglin Yu, Lexing Xie, Scott Sanner
2014 A conf
Closed-form Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming.
UAI
Shamin Kinathil, Scott Sanner, Nicolás Della Penna
2014 — conf
Continuous Real Time Dynamic Programming for Discrete and Continuous State MDPs.
BRACIS
Luis Gustavo Rocha Vianna, Scott Sanner, Leliane Nunes de Barros
2014 J jnl
Preference Learning (Dagstuhl Seminar 14101).
Dagstuhl Reports
Johannes Fürnkranz, Eyke Hüllermeier, Cynthia Rudin, Roman Slowinski, Scott Sanner
2014 A conf
Sequential Bayesian Optimisation for Spatial-Temporal Monitoring.
UAI
Román Marchant, Fabio Ramos, Scott Sanner
2014 A conf
Social collaborative filtering for cold-start recommendations.
RecSys
Suvash Sedhain, Scott Sanner, Darius Braziunas, Lexing Xie, Jordan Christensen
2014 A* conf
Twitter-driven YouTube Views: Beyond Individual Influencers.
ACM Multimedia
Honglin Yu, Lexing Xie, Scott Sanner
2013 — conf
Algorithms for Direct 0-1 Loss Optimization in Binary Classification.
ICML (3)
Tan Nguyen, Scott Sanner
2013 A conf
Bounded Approximate Symbolic Dynamic Programming for Hybrid MDPs.
UAI
Luis Gustavo Vianna, Scott Sanner, Leliane Nunes de Barros
2013 J jnl
Bounded Approximate Symbolic Dynamic Programming for Hybrid MDPs.
CoRR
Luis Gustavo Vianna, Scott Sanner, Leliane Nunes de Barros
2013 — conf
Decision-Theoretic Sparsification for Gaussian Process Preference Learning.
ECML/PKDD (2)
M. Ehsan Abbasnejad, Edwin V. Bonilla, Scott Sanner
2013 A* conf
Improving LDA topic models for microblogs via tweet pooling and automatic labeling.
SIGIR
Rishabh Mehrotra, Scott Sanner, Wray L. Buntine, Lexing Xie
2013 A* conf
Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes.
IJCAI
Ehsan Abbasnejad, Scott Sanner, Edwin V. Bonilla, Pascal Poupart
2013 A* conf
Robust Optimization for Hybrid MDPs with State-Dependent Noise.
IJCAI
Zahra Zamani, Scott Sanner, Karina Valdivia Delgado, Leliane Nunes de Barros
2013 — conf
Social affinity filtering: recommendation through fine-grained analysis of user interactions and activities.
COSN
Suvash Sedhain, Scott Sanner, Lexing Xie, Riley Kidd, Khoi-Nguyen Tran, Peter Christen
2012 J jnl
A Survey of the Seventh International Planning Competition.
AI Mag.
Amanda Jane Coles, Andrew Coles, Angel García Olaya, Sergio Jiménez Celorrio, Carlos Linares López, Scott Sanner, Sungwook Yoon
2012 J jnl
Approximate Linear Programming for First-order MDPs
CoRR
Scott Sanner, Craig Boutilier
2012 A* conf
New objective functions for social collaborative filtering.
WWW
Joseph Noel, Scott Sanner, Khoi-Nguyen Tran, Peter Christen, Lexing Xie, Edwin V. Bonilla, Ehsan Abbasnejad, Nicolás Della Penna
2012 A* conf
On the mathematical relationship between expected n-call@k and the relevance vs. diversity trade-off.
SIGIR
Kar Wai Lim, Scott Sanner, Shengbo Guo
2012 J jnl
Practical Linear Value-approximation Techniques for First-order MDPs.
CoRR
Scott Sanner, Craig Boutilier
2012 — ed.
Recent Advances in Reinforcement Learning - 9th European Workshop, EWRL 2011, Athens, Greece, September 9-11, 2011, Revised Selected Papers
EWRL
Scott Sanner, Marcus Hutter
2012 — conf
Score-Based Bayesian Skill Learning.
ECML/PKDD (1)
Shengbo Guo, Scott Sanner, Thore Graepel, Wray L. Buntine
2012 A* conf
Symbolic Dynamic Programming for Continuous State and Action MDPs.
AAAI
Zahra Zamani, Scott Sanner, Cheng Fang
2012 — conf
Symbolic Dynamic Programming for Continuous State and Observation POMDPs.
NIPS
Zahra Zamani, Scott Sanner, Pascal Poupart, Kristian Kersting
2012 J jnl
Symbolic Dynamic Programming for Discrete and Continuous State MDPs
CoRR
Scott Sanner, Karina Valdivia Delgado, Leliane Nunes de Barros
2012 A* conf
Symbolic Variable Elimination for Discrete and Continuous Graphical Models.
AAAI
Scott Sanner, Ehsan Abbasnejad
2011 A conf
Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model.
CIKM
Scott Sanner, Shengbo Guo, Thore Graepel, Sadegh Kharazmi, Sarvnaz Karimi
2011 J jnl
Efficient solutions to factored MDPs with imprecise transition probabilities.
Artif. Intell.
Karina Valdivia Delgado, Scott Sanner, Leliane Nunes de Barros
2011 A* conf
Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter.
IJCAI
Babak Ahmadi, Kristian Kersting, Scott Sanner
2011 — conf
On Lifted PageRank, Kalman Filter and Towards Lifted Linear Program Solving.
LWA
Babak Ahmadi, Martin Mladenov, Kristian Kersting, Scott Sanner
2011 — conf
Sparse Kernel-SARSA(λ) with an Eligibility Trace.
ECML/PKDD (3)
Matthew W. Robards, Peter Sunehag, Scott Sanner, Bhaskara Marthi
2011 A conf
Symbolic Dynamic Programming for Discrete and Continuous State MDPs.
UAI
Scott Sanner, Karina Valdivia Delgado, Leliane Nunes de Barros
2011 J jnl
Using mathematical programming to solve Factored Markov Decision Processes with Imprecise Probabilities.
Int. J. Approx. Reason.
Karina Valdivia Delgado, Leliane Nunes de Barros, Fábio Gagliardi Cozman, Scott Sanner
2010 A conf
Approximate dynamic programming with affine ADDs.
AAMAS
Scott Sanner, William T. B. Uther, Karina Valdivia Delgado
2010 — conf
Gaussian Process Preference Elicitation.
NIPS
Edwin V. Bonilla, Shengbo Guo, Scott Sanner
2010 — conf
Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries.
ISNN (1)
Shengbo Guo, Scott Sanner
2010 A* conf
Probabilistic latent maximal marginal relevance.
SIGIR
Shengbo Guo, Scott Sanner
2010 A conf
Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries.
AISTATS
Shengbo Guo, Scott Sanner
2010 — conf
Symbolic Bounded Real-Time Dynamic Programming.
SBIA
Karina Valdivia Delgado, Cheng Fang, Scott Sanner, Leliane Nunes de Barros
2010 A* conf
Symbolic Dynamic Programming for First-order POMDPs.
AAAI
Scott Sanner, Kristian Kersting
2010 — ch.
Symbolic Dynamic Programming.
Encyclopedia of Machine Learning
Scott Sanner, Kristian Kersting
2010 A* conf
Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda.
ICML
Carlton Downey, Scott Sanner
2009 A* conf
Bayesian Real-Time Dynamic Programming.
IJCAI
Scott Sanner, Robby Goetschalckx, Kurt Driessens, Guy Shani
2009 A* conf
Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities.
ICAPS
Karina Valdivia Delgado, Scott Sanner, Leliane Nunes de Barros, Fábio Gagliardi Cozman
2009 J jnl
Practical solution techniques for first-order MDPs.
Artif. Intell.
Scott Sanner, Craig Boutilier
2008 A* conf
Cost-Sensitive Parsimonious Linear Regression.
ICDM
Robby Goetschalckx, Kurt Driessens, Scott Sanner
2008 — —
First-order Decision-theoretic Planning in Structured Relational Environments.
Scott Sanner
2008 A conf
Reinforcement Learning with the Use of Costly Features.
ECAI
Robby Goetschalckx, Scott Sanner, Kurt Driessens
2008 — conf
Reinforcement Learning with the Use of Costly Features.
EWRL
Robby Goetschalckx, Scott Sanner, Kurt Driessens
2007 A* conf
Approximate Solution Techniques for Factored First-Order MDPs.
ICAPS
Scott Sanner, Craig Boutilier
2006 A* conf
An Ordered Theory Resolution Calculus for Hybrid Reasoning in First-Order Extensions of Description Logic.
KR
Scott Sanner, Sheila A. McIlraith
2006 A conf
Practical Linear Value-approximation Techniques for First-order MDPs.
UAI
Scott Sanner, Craig Boutilier
2005 A* conf
Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference.
IJCAI
Scott Sanner, David A. McAllester
2005 A conf
Approximate Linear Programming for First-order MDPs.
UAI
Scott Sanner, Craig Boutilier
2002 A conf
Towards object mapping in non-stationary environments with mobile robots.
IROS
Rahul Biswas, Benson Limketkai, Scott Sanner, Sebastian Thrun
2000 A* conf
Achieving Efficient and Cognitively Plausible Learning in Backgammon.
ICML
Scott Sanner, John R. Anderson, Christian Lebiere, Marsha C. Lovett