Scott Sanner

According to our database1, Scott Sanner authored at least 120 papers between 2000 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2021
Supervised Contrastive Replay: Revisiting the Nearest Class Mean Classifier in Online Class-Incremental Continual Learning.
CoRR, 2021

Online Continual Learning in Image Classification: An Empirical Survey.
CoRR, 2021

2020
Bayesian Networks for Data Integration in the Absence of Foreign Keys.
IEEE Trans. Knowl. Data Eng., 2020

Scalable Planning with Deep Neural Network Learned Transition Models.
J. Artif. Intell. Res., 2020

Relevance- and interface-driven clustering for visual information retrieval.
Inf. Syst., 2020

A comparative evaluation of unsupervised deep architectures for intrusion detection in sequential data streams.
Expert Syst. Appl., 2020

Adversarial Shapley Value Experience Replay for Task-Free Continual Learning.
CoRR, 2020

Noise Contrastive Estimation for Autoencoding-based One-Class Collaborative Filtering.
CoRR, 2020

Batch-level Experience Replay with Review for Continual Learning.
CoRR, 2020

ε-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning.
CoRR, 2020

Bayesian Experience Reuse for Learning from Multiple Demonstrators.
CoRR, 2020

Contextual Policy Reuse using Deep Mixture Models.
CoRR, 2020

Compact and efficient encodings for planning in factored state and action spaces with learned Binarized Neural Network transition models.
Artif. Intell., 2020

Latent Linear Critiquing for Conversational Recommender Systems.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Deep Critiquing for VAE-based Recommender Systems.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020

A Ranking Optimization Approach to Latent Linear Critiquing for Conversational Recommender Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Attentive Autoencoders for Multifaceted Preference Learning in One-class Collaborative Filtering.
Proceedings of the 20th International Conference on Data Mining Workshops, 2020

2019
Optimizing Search API Queries for Twitter Topic Classifiers Using a Maximum Set Coverage Approach.
CoRR, 2019

Scalable Nonlinear Planning with Deep Neural Network Learned Transition Models.
CoRR, 2019

Epsilon-BMC: A Bayesian Ensemble Approach to Epsilon-Greedy Exploration in Model-Free Reinforcement Learning.
Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

Preventing False Tripping Cyberattacks Against Distance Relays: A Deep Learning Approach.
Proceedings of the 2019 IEEE International Conference on Communications, 2019

Noise Contrastive Estimation for One-Class Collaborative Filtering.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

One-Class Collaborative Filtering with the Queryable Variational Autoencoder.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

A Novel Regularizer for Temporally Stable Learning with an Application to Twitter Topic Classification.
Proceedings of the 2019 SIAM International Conference on Data Mining, 2019

Deep language-based critiquing for recommender systems.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Metric Hybrid Factored Planning in Nonlinear Domains with Constraint Generation.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2019

Reward Potentials for Planning with Learned Neural Network Transition Models.
Proceedings of the Principles and Practice of Constraint Programming, 2019

Relevance-driven Clustering for Visual Information Retrieval on Twitter.
Proceedings of the 2019 Conference on Human Information Interaction and Retrieval, 2019

Deep Reactive Policies for Planning in Stochastic Nonlinear Domains.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Measuring and Mitigating the Costs of Attentional Switches in Active Network Monitoring for Cybersecurity.
Hum. Factors, 2018

Noise Contrastive Estimation for Scalable Linear Models for One-Class Collaborative Filtering.
CoRR, 2018

Aesthetic Features for Personalized Photo Recommendation.
CoRR, 2018

Conditional Inference in Pre-trained Variational Autoencoders via Cross-coding.
CoRR, 2018

Collaborative Filtering with Behavioral Models.
Proceedings of the 26th Conference on User Modeling, Adaptation and Personalization, 2018

Two-stage Model for Automatic Playlist Continuation at Scale.
Proceedings of the ACM Recommender Systems Challenge, 2018

Reinforcement Learning with Multiple Experts: A Bayesian Model Combination Approach.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Planning in Factored State and Action Spaces with Learned Binarized Neural Network Transition Models.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Efficient Symbolic Integration for Probabilistic Inference.
Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Symbolic Bucket Elimination for Piecewise Continuous Constrained Optimization.
Proceedings of the Integration of Constraint Programming, Artificial Intelligence, and Operations Research, 2018

2017
Symbolic Dynamic Programming.
Proceedings of the Encyclopedia of Machine Learning and Data Mining, 2017

Stochastic Planning and Lifted Inference.
CoRR, 2017

Reports of the Workshops of the Thirty-First AAAI Conference on Artificial Intelligence.
AI Mag., 2017

Expecting to be HIP: Hawkes Intensity Processes for Social Media Popularity.
Proceedings of the 26th International Conference on World Wide Web, 2017

Non-Markovian Rewards Expressed in LTL: Guiding Search Via Reward Shaping.
Proceedings of the Tenth International Symposium on Combinatorial Search, 2017

An open source adaptive user interface for network monitoring.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Scalable Planning with Tensorflow for Hybrid Nonlinear Domains.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Deep Sequential Recommendation for Personalized Adaptive User Interfaces.
Proceedings of the 22nd International Conference on Intelligent User Interfaces, 2017

Nonlinear Hybrid Planning with Deep Net Learned Transition Models and Mixed-Integer Linear Programming.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

A virtual marketplace for goods and services for people with social needs.
Proceedings of the IEEE Canada International Humanitarian Technology Conference, 2017

A Longitudinal Study of Topic Classification on Twitter.
Proceedings of the Eleventh International Conference on Web and Social Media, 2017

Analytic Decision Analysis via Symbolic Dynamic Programming for Parameterized Hybrid MDPs.
Proceedings of the Twenty-Seventh International Conference on Automated Planning and Scheduling, 2017

Knowledge-Based Provisioning of Goods and Services: Towards a Virtual Social Needs Marketplace.
Proceedings of the 2017 AAAI Spring Symposia, 2017

Low-Rank Linear Cold-Start Recommendation from Social Data.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Knowledge-Based Provision of Goods and Services for People with Social Needs: Towards a Virtual Marketplace.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

Hindsight Optimization for Hybrid State and Action MDPs.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Nonlinear Optimization and Symbolic Dynamic Programming for Parameterized Hybrid Markov Decision Processes.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Can this video be promoted? - Endogenous and exogenous popularity processes in social media.
CoRR, 2016

Real-time dynamic programming for Markov decision processes with imprecise probabilities.
Artif. Intell., 2016

Practical Linear Models for Large-Scale One-Class Collaborative Filtering.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

A Symbolic Closed-Form Solution to Sequential Market Making with Inventory.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

On the Effectiveness of Linear Models for One-Class Collaborative Filtering.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

Closed-Form Gibbs Sampling for Graphical Models with Algebraic Constraints.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
The 2014 International Planning Competition: Progress and Trends.
AI Mag., 2015

AutoRec: Autoencoders Meet Collaborative Filtering.
Proceedings of the 24th International Conference on World Wide Web Companion, 2015

On Term Selection Techniques for Patent Prior Art Search.
Proceedings of the 38th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2015

Context-Aware Detection of Sneaky Vandalism on Wikipedia Across Multiple Languages.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2015

The Lifecyle of a Youtube Video: Phases, Content and Popularity.
Proceedings of the Ninth International Conference on Web and Social Media, 2015

A study of query reformulation for patent prior art search with partial patent applications.
Proceedings of the 15th International Conference on Artificial Intelligence and Law, 2015

Bayesian Model Averaging Naive Bayes (BMA-NB): Averaging over an Exponential Number of Feature Models in Linear Time.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Real-Time Symbolic Dynamic Programming.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Linear-Time Gibbs Sampling in Piecewise Graphical Models.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Loss-Calibrated Monte Carlo Action Selection.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Preference Learning (Dagstuhl Seminar 14101).
Dagstuhl Reports, 2014

Sequential Bayesian Optimisation for Spatial-Temporal Monitoring.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Closed-form Solutions to a Subclass of Continuous Stochastic Games via Symbolic Dynamic Programming.
Proceedings of the Thirtieth Conference on Uncertainty in Artificial Intelligence, 2014

Social collaborative filtering for cold-start recommendations.
Proceedings of the Eighth ACM Conference on Recommender Systems, 2014

Twitter-driven YouTube Views: Beyond Individual Influencers.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

Continuous Real Time Dynamic Programming for Discrete and Continuous State MDPs.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
Bounded Approximate Symbolic Dynamic Programming for Hybrid MDPs.
Proceedings of the Twenty-Ninth Conference on Uncertainty in Artificial Intelligence, 2013

Improving LDA topic models for microblogs via tweet pooling and automatic labeling.
Proceedings of the 36th International ACM SIGIR conference on research and development in Information Retrieval, 2013

Decision-Theoretic Sparsification for Gaussian Process Preference Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2013

Robust Optimization for Hybrid MDPs with State-Dependent Noise.
Proceedings of the IJCAI 2013, 2013

Learning Community-Based Preferences via Dirichlet Process Mixtures of Gaussian Processes.
Proceedings of the IJCAI 2013, 2013

Algorithms for Direct 0-1 Loss Optimization in Binary Classification.
Proceedings of the 30th International Conference on Machine Learning, 2013

Social affinity filtering: recommendation through fine-grained analysis of user interactions and activities.
Proceedings of the Conference on Online Social Networks, 2013

2012
A Survey of the Seventh International Planning Competition.
AI Mag., 2012

New objective functions for social collaborative filtering.
Proceedings of the 21st World Wide Web Conference 2012, 2012

On the mathematical relationship between expected n-call@k and the relevance vs. diversity trade-off.
Proceedings of the 35th International ACM SIGIR conference on research and development in Information Retrieval, 2012

Score-Based Bayesian Skill Learning.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2012

Symbolic Dynamic Programming for Continuous State and Observation POMDPs.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

Symbolic Dynamic Programming for Continuous State and Action MDPs.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

Symbolic Variable Elimination for Discrete and Continuous Graphical Models.
Proceedings of the Twenty-Sixth AAAI Conference on Artificial Intelligence, 2012

2011
Using mathematical programming to solve Factored Markov Decision Processes with Imprecise Probabilities.
Int. J. Approx. Reason., 2011

Efficient solutions to factored MDPs with imprecise transition probabilities.
Artif. Intell., 2011

Symbolic Dynamic Programming for Discrete and Continuous State MDPs.
Proceedings of the UAI 2011, 2011

Sparse Kernel-SARSA(λ) with an Eligibility Trace.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2011

On Lifted PageRank, Kalman Filter and Towards Lifted Linear Program Solving.
Proceedings of the Report of the symposium "Lernen, 2011

Multi-Evidence Lifted Message Passing, with Application to PageRank and the Kalman Filter.
Proceedings of the IJCAI 2011, 2011

Diverse retrieval via greedy optimization of expected 1-call@k in a latent subtopic relevance model.
Proceedings of the 20th ACM Conference on Information and Knowledge Management, 2011

2010
Symbolic Dynamic Programming.
Proceedings of the Encyclopedia of Machine Learning, 2010

Real-time Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries.
Proceedings of the Thirteenth International Conference on Artificial Intelligence and Statistics, 2010

Probabilistic latent maximal marginal relevance.
Proceedings of the Proceeding of the 33rd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2010

Symbolic Bounded Real-Time Dynamic Programming.
Proceedings of the Advances in Artificial Intelligence - SBIA 2010, 2010

Gaussian Process Preference Elicitation.
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Multiattribute Bayesian Preference Elicitation with Pairwise Comparison Queries.
Proceedings of the Advances in Neural Networks, 2010

Temporal Difference Bayesian Model Averaging: A Bayesian Perspective on Adapting Lambda.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Approximate dynamic programming with affine ADDs.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Symbolic Dynamic Programming for First-order POMDPs.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Practical solution techniques for first-order MDPs.
Artif. Intell., 2009

Bayesian Real-Time Dynamic Programming.
Proceedings of the IJCAI 2009, 2009

Efficient Solutions to Factored MDPs with Imprecise Transition Probabilities.
Proceedings of the 19th International Conference on Automated Planning and Scheduling, 2009

2008
Cost-Sensitive Parsimonious Linear Regression.
Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Reinforcement Learning with the Use of Costly Features.
Proceedings of the Recent Advances in Reinforcement Learning, 8th European Workshop, 2008

2007
Approximate Solution Techniques for Factored First-Order MDPs.
Proceedings of the Seventeenth International Conference on Automated Planning and Scheduling, 2007

2006
Practical Linear Value-approximation Techniques for First-order MDPs.
Proceedings of the UAI '06, 2006

An Ordered Theory Resolution Calculus for Hybrid Reasoning in First-Order Extensions of Description Logic.
Proceedings of the Proceedings, 2006

2005
Approximate Linear Programming for First-order MDPs.
Proceedings of the UAI '05, 2005

Affine Algebraic Decision Diagrams (AADDs) and their Application to Structured Probabilistic Inference.
Proceedings of the IJCAI-05, Proceedings of the Nineteenth International Joint Conference on Artificial Intelligence, Edinburgh, Scotland, UK, July 30, 2005

2002
Towards object mapping in non-stationary environments with mobile robots.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, Lausanne, Switzerland, September 30, 2002

2000
Achieving Efficient and Cognitively Plausible Learning in Backgammon.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000


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