Data and Decision Sciences

Research output

Research output per year 1969 2005 2011 2012 2013 2014 2015 2016 2017 2018 2019 2020 2021 2022 2023 2024

• 1734 Article
• 824 Conference contribution
• 127 Chapter
• 101 Conference article
• 302 More
  • 76 Paper
  • 36 Editorial
  • 34 Review article
  • 32 Book
  • 26 Working paper
  • 22 Comment/debate
  • 21 Anthology
  • 17 Other contribution
  • 9 Letter
  • 7 Report
  • 6 Other
  • 6 Meeting Abstract
  • 6 Preprint
  • 2 Patent
  • 1 Foreword/postscript
  • 1 Short survey

Research output per year

Research output per year

Search results

• 2024

  Efficient Online Crowdsourcing with Complex Annotations

  Meir, R., Nguyen, V. A., Chen, X., Ramakrishnan, J. & Weinsberg, U., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 9, p. 10119-10127 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Annotation 100%
  • on-line algorithm 16%
  • Crowdsourcing Platform 16%

• Explaining Reinforcement Learning Agents through Counterfactual Action Outcomes

  Amitai, Y., Septon, Y. & Amir, O., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 9, p. 10003-10011 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Reinforcement Learning 100%
  • Learning Agent 100%
  • Benefits 100%
  • And-States 50%
  • Decision-Making 50%

• Principal-Agent Reward Shaping in MDPs

  Ben-Porat, O., Mansour, Y., Moshkovitz, M. & Taitler, B., 25 Mar 2024, In: Proceedings of the AAAI Conference on Artificial Intelligence. 38, 9, p. 9502-9510 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Principal-Agent 100%
• 2023

  B-Learner: Quasi-Oracle Bounds on Heterogeneous Causal Effects Under Hidden Confounding

  Oprescu, M., Dorn, J., Ghoummaid, M., Jesson, A., Kallus, N. & Shalit, U., 2023, In: Proceedings of Machine Learning Research. 202, p. 26599-26618 20 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Treatment Effect 100%
  • Causal Effect 100%
  • Confounding 100%
  • Conditionals 60%
  • Observational Data 40%
  2 Scopus citations

• Explaining Agent Preferences & Behavior: Integrating Reward-Decomposition & Contrastive-Highlights

  Septon, Y., Amitai, Y. & Amir, O., 2023, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023-May, p. 2295-2297 3 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Behavior (Neuroscience) 100%
  • Decision-Making Process 100%
  • Reinforcement Learning 33%

• Hierarchical Planning for Rope Manipulation using Knot Theory and a Learned Inverse Model

  Sudry, M., Jurgenson, T., Tamar, A. & Karpas, E., 2023, In: Proceedings of Machine Learning Research. 229

  Research output: Contribution to journal › Conference article › peer-review

  • Neural Network 100%
  • Uniform Sampling 50%
  • Dimensional Object 50%
  • Physical Simulation 50%

• Mitigating Skewed Bidding for Conference Paper Assignment

  Rozencweig, I., Meir, R., Mattei, N. & Amir, O., 2023, In: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS. 2023-May, p. 573-581 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Mechanical Turk 100%
  • Artificial Intelligence 100%
  • Peer Review Process 100%
  • Field Experiment 100%
  1 Scopus citations

• Optimal Mechanism Design for Agents with DSL Strategies: The Case of Sybil Attacks in Combinatorial Auctions

  Gafni, Y. & Tennenholtz, M., 11 Jul 2023, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 379, p. 245-259 15 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Combinatorial Auction 100%
  • Mechanism Design 100%
  • Auction 100%
  • Decision-Making 50%
  • Welfare 50%

• Projection-free Online Exp-concave Optimization

  Garber, D. & Kretzu, B., 2023, In: Proceedings of Machine Learning Research. 195, p. 1259-1284 26 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Exp 100%
  • Step Newton 100%
  • Linear Optimization 100%
  • Feasible Set 66%
  • Convex Optimization 50%
  1 Scopus citations

• Resilient Information Aggregation

  Arieli, I., Geffner, I. & Tennenholtz, M., 11 Jul 2023, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 379, p. 31-45 15 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Information Aggregation 100%
  • Efficient Algorithm 50%
  • Received Message 50%
  • Recommended Action 50%

• Selling Data to a Competitor (Extended Abstract)

  Gradwohl, R. & Tennenholtz, M., 11 Jul 2023, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 379, p. 318-330 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Benefits 100%
  • Consumer Surplus 50%

• Understanding Natural Language in Context

  Levy, A. & Karpas, E., 2023, In: Proceedings International Conference on Automated Planning and Scheduling, ICAPS. 33, 1, p. 659-667 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Robot 100%
  • Natural-Language Understanding 100%
  • Knowledge Representation Formalisms 14%
  • Large Language Model 14%
  • Chatbot 14%
• 2022

  Conceptually-grounded Mapping Patterns for Virtual Knowledge Graphs

  Calvanese, D., Gal, A., Lanti, D., Montali, M., Mosca, A. & Shraga, R., 2022, In: CEUR Workshop Proceedings. 3194, p. 85-92 8 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Data Source 100%
  • Ontology 33%
  • Data Model 33%
  • Common Pattern 33%
  • Database Design 33%

• Empirical Bayes approach to Truth Discovery problems

  Shabat, T. B., Meir, R. & Azriel, D., 2022, In: Proceedings of Machine Learning Research. 180, p. 150-158 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Empirical Bayes Procedure 100%
  • Bayes Approach 100%
  • Bayes Estimator 100%
  • Problem Discovery 100%
  • Bayesian Estimation 66%

• In the Eye of the Beholder: Robust Prediction with Causal User Modeling

  Feder, A., Horowitz, G., Wald, Y., Reichart, R. & Rosenfeld, N., 2022, In: CoRR.

  Research output: Contribution to journal › Conference article

  • Historical Data 100%
  • Learning Framework 100%
  • Rational Decision 100%
  • User Modeling 100%
  • Social Platform 100%

• New Projection-free Algorithms for Online Convex Optimization with Adaptive Regret Guarantees

  Garber, D. & Kretzu, B., 2022, In: Proceedings of Machine Learning Research. 178, p. 2326-2359 34 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Convex Optimization 100%
  • Linear Optimization 100%
  • Feasible Set 100%
  • Gradient Descent 33%
  • Current-State 33%
  6 Scopus citations
• 2021

  Approximate Implication with d-Separation

  Kenig, B., 2021, In: Proceedings of Machine Learning Research. 161, p. 301-311 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Approximates 100%
  • Graphical Model 100%
  • Conditional Independence 75%
  • Approximation (Algorithm) 25%
  • Graph Algorithms 25%

• Bandits with Partially Observable Confounded Data

  Tennenholtz, G., Shalit, U., Mannor, S. & Efroni, Y., 2021, In: Proceedings of Machine Learning Research. 161, p. 430-439 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Online Learning 100%
  • Learning Algorithm 100%
  • Side Information 100%
  • Related Factor 100%

• Do hard topics exist? A statistical analysis

  Culpepper, J. S., Faggioli, G., Ferro, N. & Kurland, O., 2021, In: CEUR Workshop Proceedings. 2947

  Research output: Contribution to journal › Conference article › peer-review

  • retrieval model 100%
  • Query Rewriting 100%
  • Interaction Effect 100%
  • Fundamental Problem 100%
  • Renewed Interest 100%
  1 Scopus citations

• Revisiting Projection-free Online Learning: the Strongly Convex Case

  Garber, D. & Kretzu, B., 2021, In: Proceedings of Machine Learning Research. 130, p. 3592-3600 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Convex Case 100%
  • Convex Function 100%
  • Upper Bound 50%
  17 Scopus citations

• Time-energy optimal control of a non-linear surface vehicle subject to disturbances

  Taitler, A., Ioslovich, I., Karpas, E. & Gutman, P. O., 2021, In: IFAC-PapersOnLine. 54, 14, p. 48-53 6 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Energy Engineering 100%
  • Optimal Control 100%
  • Tasks 50%
  • Drone 50%
  • Acceleration Constraint 50%
  2 Scopus citations

• Time optimal control for a non-linear planar vehicle subject to disturbances

  Taitler, A., Ioslovich, I., Karpas, E. & Gutman, P. O., 1 Nov 2021, In: IFAC-PapersOnLine. 54, 20, p. 611-616 6 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Optimal Control 100%
  • Nonlinear 100%
  • Optimal Control Theory 100%
  • Nonlinear Problem 50%
  • Tasks 50%
  2 Scopus citations

• Uncertain process data with probabilistic knowl- edge: Problem characterization and challenges

  Cohen, I. & Gal, A., 2021, In: CEUR Workshop Proceedings. 2938, p. 51-56 6 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Process Model 100%
  • Process Data 100%
  • Stochastic Process 50%
  • Checking Technique 25%
  • Physical Device 25%
  6 Scopus citations
• 2020

  (Artificial) Mind over matter: Humans in and humans out in matching

  Shraga, R., Gal, A. & Ackerman, R., 2020, In: CEUR Workshop Proceedings. 2652

  Research output: Contribution to journal › Conference article › peer-review

  • Cognitive Bias 100%
  • Human 100%

• A causal view of compositional zero-shot recognition

  Atzmon, Y., Kreuk, F., Shalit, U. & Chechik, G., 2020, In: Advances in Neural Information Processing Systems. 2020-December

  Research output: Contribution to journal › Conference article › peer-review

  • Learning Systems 100%
  • Attribute Object 100%
  • Training Data 100%
  57 Scopus citations

• A game-theoretic analysis of the empirical revenue maximization algorithm with endogenous sampling

  Deng, X., Lavi, R., Lin, T., Qi, Q., Wang, W. & Yan, X., 2020, In: Advances in Neural Information Processing Systems. 2020-December

  Research output: Contribution to journal › Conference article › peer-review

  • Theoretic Analysis 100%
  • Learning Algorithm 100%
  • Auction 100%
  • Incentives 80%
  • Input Distribution 50%
  2 Scopus citations

• Identifying causal-effect inference failure with uncertainty-aware models

  Jesson, A., Mindermann, S., Shalit, U. & Gal, Y., 2020, In: Advances in Neural Information Processing Systems. 2020-December

  Research output: Contribution to journal › Conference article › peer-review

  • Covariate Shift 100%
  • Neural Network 100%
  • Individual Level 66%
  • Decision Maker 66%
  • High Dimensional Data 33%
  33 Scopus citations

• Improved Regret Bounds for Projection-free Bandit Convex Optimization

  Garber, D. & Kretzu, B., 2020, In: Proceedings of Machine Learning Research. 108, p. 2196-2206 11 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Convex Optimization 100%
  • Linear Optimization 100%
  • Number 100%
  • Conditionals 100%
  • Dimensional Problem 100%
  13 Scopus citations

• Mapping patterns for virtual knowledge graphs (A report on ongoing research)

  Calvanese, D., Gal, A., Lanti, D., Montali, M., Mosca, A. & Shraga, R., 2020, In: CEUR Workshop Proceedings. 2663

  Research output: Contribution to journal › Conference article › peer-review

• On the almost sure convergence of stochastic gradient descent in non-convex problems

  Mertikopoulos, P., Hallak, N., Kavis, A. & Cevher, V., 2020, In: Advances in Neural Information Processing Systems. 2020-December

  Research output: Contribution to journal › Conference article › peer-review

  • Nonconvex Problem 100%
  • Step Size 100%
  • Almost Sure Convergence 100%
  • Stochastics 100%
  • Probability Theory 40%
  22 Scopus citations

• On the Convergence of Stochastic Gradient Descent with Low-Rank Projections for Convex Low-Rank Matrix Problems

  Garber, D., 2020, In: Proceedings of Machine Learning Research. 125, p. 1666-1681 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Matrix (Mathematics) 100%
  • Stochastics 100%
  • Gradient Descent 100%
  • Singular Value Decomposition 40%
  • Convex Relaxation 40%
  2 Scopus citations

• Revisiting frank-wolfe for polytopes: Strict complementarity and sparsity

  Garber, D., 2020, In: Advances in Neural Information Processing Systems. 2020-December

  Research output: Contribution to journal › Conference article › peer-review

  • Polytope 100%
  • Objective Function 33%
  • Worst Case 33%
  • Conditionals 33%
  • Wolfe Algorithm 33%
  7 Scopus citations

• Using deep networks for scientific discovery in physiological signals

  Beer, T., Eini-Porat, B., Goodfellow, S., Eytan, D. & Shalit, U., 2020, In: Proceedings of Machine Learning Research. 126, p. 685-709 25 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Deep Neural Network 100%
  • Physiological Signal 100%
  • Scientific Discovery 100%
  • Interpretability 33%
  • Hypothesis Space 33%
  3 Scopus citations
• 2019

  Gecko - A tool for effective annotation of human conversations

  Levy, G., Sitman, R., Amir, I., Golshtein, E., Mochary, R., Reshef, E., Reichart, R. & Allouche, O., 2019, In: Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH. 2019-September, p. 3677-3678 2 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Annotation 100%
  • Machine Learning 50%
  • Speech Recognition 50%
  • quality model 25%
  • Deep Neural Network 25%
  3 Scopus citations

• On the Regret Minimization of Nonconvex Online Gradient Ascent for Online PCA

  Garber, D., 2019, In: Proceedings of Machine Learning Research. 99, p. 1349-1373 25 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Principal Component Analysis 100%
  • Stochastics 100%
  • Minimizes 66%
  • Real-World Data 66%
  • Regularization 33%
  6 Scopus citations

• Sequential voting with confirmation network

  Babichenko, Y., Dean, O. & Tennenholtz, M., 19 Jul 2019, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 297, p. 19-34 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Voting Rule 100%
  1 Scopus citations
• 2018

  Efficient coordinate-wise leading eigenvector computation

  Wang, J., Wang, W., Garber, D. & Srebro, N., 2018, In: Proceedings of Machine Learning Research. 83, p. 806-820 15 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Eigenvector 100%
  • Global Convergence 50%
  8 Scopus citations

• Removing hidden confounding by experimental grounding

  Kallus, N., Puli, A. M. & Shalit, U., 2018, In: Advances in Neural Information Processing Systems. 2018-December, p. 10888-10897 10 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Observational Data 100%
  • Confounding 100%
  • Experimental Data 75%
  • Weaker Assumption 25%
  • Causal Effect 25%
  45 Scopus citations

• Temporal planning while the clock ticks

  Cashmore, M., Coles, A., Cserna, B., Karpas, E., Magazzeni, D. & Ruml, W., 2018, In: Proceedings International Conference on Automated Planning and Scheduling, ICAPS. 2018-June, p. 39-46 8 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Execution Plan 100%
  • Time-Sensitive 100%
  • Timing Constraint 100%
  • Decision-Making 100%
  18 Scopus citations

• Value driven landmarks for oversubscription planning

  Muller, D. & Karpas, E., 2018, In: Proceedings International Conference on Automated Planning and Scheduling, ICAPS. 2018-June, p. 171-179 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Oversubscription 100%
  • Utility Function 50%
  • Action Sequence 33%
  • Domain Representation 16%
  6 Scopus citations
• 2017

  EDU-ProM: ProM for the classroom

  Dahari, Y., Gal, A. & Senderovich, A., 2017, In: CEUR Workshop Proceedings. 1920

  Research output: Contribution to journal › Conference article › peer-review

  • Process Mining 100%
  • Mining Technique 50%
  • Open Source Project 50%
  • Development Environment 50%
  1 Scopus citations

• Efficient online linear optimization with approximation algorithms

  Garber, D., 2017, In: Advances in Neural Information Processing Systems. 2017-December, p. 628-636 9 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Approximation Algorithms 100%
  • Linear Optimization 100%
  • Number 100%
  • Minimizes 100%
  • Multiplicative 100%
  11 Scopus citations

• Group recommendations: Axioms, impossibilities, and random walks

  Lev, O. & Tennenholtz, M., 25 Jul 2017, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 251, p. 382-397 16 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Random Walk 100%
  • Social Welfare Function 100%
  • Extract Information 50%
  • Online Game 50%
  2 Scopus citations
• 2016

  An axiomatic approach to routing

  Lev, O., Tennenholtz, M. & Zohar, A., 23 Jun 2016, In: Electronic Proceedings in Theoretical Computer Science, EPTCS. 215, p. 194-206 13 p.

  Research output: Contribution to journal › Conference article › peer-review

  Open Access

  • Routing Protocol 100%
  • Routing Algorithm 100%
  • Multi Agent Systems 50%
  • Spanning Tree 50%
  • Information Delivery 50%

• Conformance checking and performance improvement in scheduled processes: A queueing-network perspective

  Senderovich, A., Weidlich, M., Yedidsion, L., Gal, A., Mandelbaum, A., Kadish, S. & Bunnell, C. A., 2016, In: CEUR Workshop Proceedings. 1701, p. 72-74 3 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Queueing Network 100%
  • Process Execution 100%
  • Performance Improvement 100%
  • Service Process 66%
  • Process Performance 66%
  1 Scopus citations

• In log and model we trust?

  Andreas, R. S., Senderovich, A., Weidlich, M., Mendling, J. & Gal, A., 2016, In: CEUR Workshop Proceedings. 1701, p. 91-94 4 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Process Model 100%
  • Process Mining 100%
  • Modelers 100%
  • Checking Technique 100%
  • Data Execution 100%
  3 Scopus citations

• In log and model we trust? A generalized conformance checking framework

  Rogge-Solti, A., Senderovich, A., Weidlich, M., Mendling, J. & Gal, A., 2016, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9850 LNCS, p. 179-196 18 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Process Model 100%
  • Process Mining 100%
  • Modelers 100%
  • Checking Technique 100%
  • Data Execution 100%
  30 Scopus citations

• On the enumeration of tree decompositions

  Carmeli, N., Kenig, B. & Kimelfeld, B., 2016, In: CEUR Workshop Proceedings. 1644

  Research output: Contribution to journal › Conference article › peer-review

• P³-folder: Optimal model simplification for improving accuracy in process performance prediction

  Senderovich, A., Shleyfman, A., Weidlich, M., Gal, A. & Mandelbaum, A., 2016, In: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 9850 LNCS, p. 418-436 19 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Simplification Rule 100%
  • In-Process 100%
  • Process Performance 100%
  • Performance Prediction 100%
  • Stochastic Petri Net 66%
  9 Scopus citations

• Privacy preserving plans in partially observable environments

  Keren, S., Gal, A. & Karpas, E., 2016, In: IJCAI International Joint Conference on Artificial Intelligence. 2016-January, p. 3170-3176 7 p.

  Research output: Contribution to journal › Conference article › peer-review

  • Goal Recognition 100%
  • Privacy Preserving 100%
  • Partial Observability 50%
  • Distinctiveness 50%
  40 Scopus citations