Publications

DBLP | Google Scholar
Computer Vision | Natural Language Processing | Responsible AI | Recommender Systems | Machine Learning | Algorithmic Reasoning | Search & Optimization | Algorithm Configuration
Patents | Theses

Computer Vision

ACM DocEng 2023 Read-Write-Learn: Self-Learning for Handwriting Recognition

Natural Language Processing

CP 2023 Holy Grail 2.0: From Natural Language to Constraint Models
CPAIOR 2023 NER4OPT: Named Entity Recognition for Optimization
[Slides] | [GitHub] | [HuggingFace]
NeurIPS 2022 Natural Language for Optimization
[GitHub] | [HuggingFace]
AAAI 2021 Representing the unification of text featurization using a context-free grammar
[Video]
Constraints 2010 Grammar constraints
AAAI 2008 Efficient context-free grammar constraints

Responsible AI

Recommender Systems

AAAI 2024 Building higher-order abstractions from components of recommender systems
[GitHub] | [Video]
AMAI 2024 Integrating optimized item selection with active learning for continuous exploration in recommender systems
[Data]
Bridge@AAAI'24 Mab2Rec: contextual multi-armed bandits for recommender systems
TMLR 2022 Non-deterministic behavior of Thompson sampling with linear payoffs and How to Avoid It
Received TMLR’s first reproducibility certificate
IJCAI 2021 Active learning meets optimized item selection
[GitHub]
CPAIOR 2021 Optimized item selection to boost exploration for recommender systems
[YouTube] | [GitHub]
IJAIT 2021 Parallelizable contextual multi-armed bandits
JDSA 2021 Modeling uncertainty to improve personalized recommendations via Bayesian deep learning
ICTAI 2019 Bayesian deep learning based exploration-exploitation for personalized recommendations
[Re:Work Boston]
ICTAI 2019 MABWiser: contextual multi-armed bandits
[GitHub]

Machine Learning

ArXiv 2024 The design and organization of educational competitions with anonymous and real-time leaderboards in academic and industrial settings
AI Magazine 2023 Seq2Pat: Sequence-to-pattern generation to bridge pattern mining with machine learning
[CMU Blog Post] | GitHub
AAAI 2023 Bridging Constraint-based Sequential Pattern Mining and Machine Learning
[GitHub]
Frontiers 2022 Dichotomic Pattern Mining Integrated With Constraint Reasoning for Digital Behavior Analysis
[GitHub]
AAAI 2022 Dichotomic Pattern Mining with Applications to Intent Prediction from Semi-Structured Clickstream Datasets
AAAI 2022 Seq2Pat: Sequence-to-Pattern Generation for Constraint-based Sequential Pattern Mining
CP 2019 Constrained logistic regression to avoid undesirable predictions
LION 2017 Learning a reactive restart strategy to improve stochastic search
Computer Speech & Language 2015 Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits
[Code]
Interspeech 2012 Feature selection for speaker traits
[GitHub]

Algorithmic Reasoning

MOPTA 2021 Integrated Vehicle Routing and Monte Carlo Scheduling Approach for the Home Service Assignment, Routing, and Scheduling Problem
Finalist at the AIMMS-MOPTA Optimization Modeling Competition, [Brown News]
European Journal on Comb. Opt. 2019 Core group placement: allocation and provisioning of heterogeneous resources
CoRR 2017 Column generation for interaction coverage in combinatorial software testing
Heterogeneous resource allocation in cloud management
CP 2016 Availability optimization in cloud-based In-memory data grids
CP 2015 Optimizing the cloud service experience using constraint programming
CPAIOR 2010 Upper bounds on the number of solutions of binary integer programs
CP 2009 Same-relation constraints

Search & Optimization

Dagsthul 2022 Data-driven combinatorial optimization, Seminar Report
INFORMS 2020 Seq2Pat: sequence-to-pattern generation in large-scale sequence databases
Dagsthul 2018 Planning & operations research, [Report]
Europen Journal on OR 2016 DASH: dynamic approach for switching heuristics
Constraints 2015 Efficient search procedures for solving combinatorial problems
AAAI 2014 Parallel restarted search
AAAI 2012 Non-model-based search guidance for set partitioning problems
CP 2011 Incorporating variance in impact-based search
CP 2009 Dialectic search
Banff 2009 Search in constraint programming, Seminar Report
Crocs 2009 A local search meta-heuristic for non-specialists
CP 2008 Dichotomic search protocols for constrained optimization
Nominated for the Best Paper Award

Algorithm Configuration

CP 2019 How to win gold at a SAT competition without writing a SAT solver
CoRR 2014 Transformation-based feature computation for algorithm portfolios
CoRR 2013 DASH: dynamic approach for switching heuristics
CP 2011 Algorithm selection and scheduling
Winner of the 2011 SAT Solver Competition, 3S, in crafted and random categories collecting 2 gold and 7 medals in total
ECAI 2010 ISAC: instance-specific algorithm configuration

Patents

2024-18093591 Digital content classification and recommendation using constraint-based predictive machine learning
2023-11799734 Determining future user actions using time-based featurization of clickstream data
2022-0188843 Surrogate ground truth generation in artificial intelligence based marketing campaigns
2022-0142196 Digital content classification and recommendation using reinforcement learning
2021-10936961 Automated predictive product recommendations using reinforcement learning
2019-10248550 Selecting a set of test configurations associated with a particular coverage strength using a constraint solver
2018-10146665 Systems and methods for providing dynamic and real-time simulations of matching resources to requests
2018-10007538 Assigning applications to virtual machines using constraint programming
2017-9588819 System and method of assigning requests to resources using constraint programming

Theses

Efficient search procedures for solving combinatorial problems
PhD thesis, Department of Computer Science, Brown University 2012
Awarded the 2010 Ph.D. Scholarship by IBM
Grammar constraints: combining expressiveness with efficiency
M.Sc. thesis, Department of Computer Science, Brown University 2009