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ORCIDBoi Faltings
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- affiliation: Swiss Federal Institute of Technology in Lausanne, Switzerland
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2020 – today
- 2021
[i47]Dimitris Chatzopoulos, Anurag Jain, Sujit Gujar, Boi Faltings, Pan Hui:
Towards Mobile Distributed Ledgers. CoRR abs/2101.04825 (2021)- [i46]Panayiotis Danassis, Zeki Doruk Erden, Boi Faltings:
Improved Cooperation by Exploiting a Common Signal. CoRR abs/2102.02304 (2021) - 2020
- [j53]Aleksei Triastcyn, Boi Faltings:
Federated Generative Privacy. IEEE Intell. Syst. 35(4): 50-57 (2020) - [c242]Fei Mi, Lingjing Kong, Tao Lin, Kaicheng Yu, Boi Faltings:
Generalized Class Incremental Learning. CVPR Workshops 2020: 970-974 - [c241]Panayiotis Danassis, Boi Faltings:
Efficient Allocations in Constant Time: Towards Scalable Solutions in the Era of Large Scale Intelligent Systems. ECAI 2020: 2895-2896 - [c240]Moin Hussain Moti, Dimitris Chatzopoulos, Pan Hui, Boi Faltings, Sujit Gujar:
Orthos: A Trustworthy AI Framework for Data Acquisition. EMAS@AAMAS 2020: 100-118 - [c239]Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings:
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems. EMNLP (Findings) 2020: 3461-3474 - [c238]Aleksei Triastcyn, Boi Faltings:
Bayesian Differential Privacy for Machine Learning. ICML 2020: 9583-9592 - [c237]Naman Goel, Aris Filos-Ratsikas, Boi Faltings:
Peer-Prediction in the Presence of Outcome Dependent Lying Incentives. IJCAI 2020: 124-131 - [c236]Fei Mi, Boi Faltings:
Memory Augmented Neural Model for Incremental Session-based Recommendation. IJCAI 2020: 2169-2176 - [c235]Naman Goel, Cyril van Schreven, Aris Filos-Ratsikas, Boi Faltings:
Infochain: A Decentralized, Trustless and Transparent Oracle on Blockchain. IJCAI 2020: 4604-4610 - [c234]Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings, Pan Hui:
Mneme: A Mobile Distributed Ledger. INFOCOM 2020: 1897-1906 - [c233]Diego Antognini, Boi Faltings:
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. LREC 2020: 4917-4923 - [c232]Diego Antognini, Boi Faltings:
GameWikiSum: a Novel Large Multi-Document Summarization Dataset. LREC 2020: 6645-6650 - [c231]Fei Mi, Xiaoyu Lin, Boi Faltings:
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation. RecSys 2020: 408-413 - [c230]Naman Goel, Maxime Rutagarama, Boi Faltings:
Tackling Peer-to-Peer Discrimination in the Sharing Economy. WebSci 2020: 355-361 - [p2]Adam Richardson, Aris Filos-Ratsikas, Boi Faltings:
Budget-Bounded Incentives for Federated Learning. Federated Learning 2020: 176-188 - [i45]Nikola Milojkovic, Diego Antognini, Giancarlo Bergamin, Boi Faltings, Claudiu Musat:
Multi-Gradient Descent for Multi-Objective Recommender Systems. CoRR abs/2001.00846 (2020) - [i44]Diego Antognini, Boi Faltings:
GameWikiSum: a Novel Large Multi-Document Summarization Dataset. CoRR abs/2002.06851 (2020) - [i43]Diego Antognini, Boi Faltings:
HotelRec: a Novel Very Large-Scale Hotel Recommendation Dataset. CoRR abs/2002.06854 (2020) - [i42]Aleksei Triastcyn, Boi Faltings:
Generating Higher-Fidelity Synthetic Datasets with Privacy Guarantees. CoRR abs/2003.00997 (2020) - [i41]Fei Mi, Boi Faltings:
Memory Augmented Neural Model for Incremental Session-based Recommendation. CoRR abs/2005.01573 (2020) - [i40]Diego Antognini, Claudiu Musat, Boi Faltings:
T-RECS: a Transformer-based Recommender Generating Textual Explanations and Integrating Unsupervised Language-based Critiquing. CoRR abs/2005.11067 (2020) - [i39]Fei Mi, Xiaoyu Lin, Boi Faltings:
ADER: Adaptively Distilled Exemplar Replay Towards Continual Learning for Session-based Recommendation. CoRR abs/2007.12000 (2020) - [i38]Kirtan Padh, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Addressing Fairness in Classification with a Model-Agnostic Multi-Objective Algorithm. CoRR abs/2009.04441 (2020) - [i37]Blagoj Mitrevski, Milena Filipovic, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Momentum-based Gradient Methods in Multi-objective Recommender Systems. CoRR abs/2009.04695 (2020) - [i36]Milena Filipovic, Blagoj Mitrevski, Diego Antognini, Emma Lejal Glaude, Boi Faltings, Claudiu Musat:
Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context. CoRR abs/2009.08978 (2020) - [i35]Fei Mi, Liangwei Chen, Mengjie Zhao, Minlie Huang, Boi Faltings:
Continual Learning for Natural Language Generation in Task-oriented Dialog Systems. CoRR abs/2010.00910 (2020) - [i34]Panayiotis Danassis, Aleksei Triastcyn, Boi Faltings:
Differential Privacy Meets Maximum-weight Matching. CoRR abs/2011.07934 (2020)
2010 – 2019
- 2019
- [c229]Naman Goel, Boi Faltings:
Deep Bayesian Trust: A Dominant and Fair Incentive Mechanism for Crowd. AAAI 2019: 1996-2003 - [c228]Stéphane Martin, Boi Faltings, Vincent Schickel:
Context-Tree Recommendation vs Matrix-Factorization: Algorithm Selection and Live Users Evaluation. AAAI 2019: 9534-9540 - [c227]Naman Goel, Boi Faltings:
Crowdsourcing with Fairness, Diversity and Budget Constraints. AIES 2019: 297-304 - [c226]Panayiotis Danassis, Boi Faltings:
Courtesy as a Means to Coordinate. AAMAS 2019: 665-673 - [c225]Sankarshan Damle, Boi Faltings, Sujit Gujar:
A Truthful, Privacy-Preserving, Approximately Efficient Combinatorial Auction For Single-minded Bidders. AAMAS 2019: 1916-1918 - [c224]Aleksei Triastcyn, Boi Faltings:
Federated Learning with Bayesian Differential Privacy. BigData 2019: 2587-2596 - [c223]Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings:
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior. IJCAI 2019: 215-222 - [c222]Fei Mi, Minlie Huang, Jiyong Zhang
, Boi Faltings:
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. IJCAI 2019: 3151-3157 - [c221]Naman Goel, Boi Faltings:
Personalized Peer Truth Serum for Eliciting Multi-Attribute Personal Data. UAI 2019: 18-27 - [i33]Aleksei Triastcyn, Boi Faltings:
Improved Accounting for Differentially Private Learning. CoRR abs/1901.09697 (2019) - [i32]Panayiotis Danassis, Aris Filos-Ratsikas, Boi Faltings:
Anytime Heuristic for Weighted Matching Through Altruism-Inspired Behavior. CoRR abs/1902.09359 (2019) - [i31]Fei Mi, Minlie Huang, Jiyong Zhang, Boi Faltings:
Meta-Learning for Low-resource Natural Language Generation in Task-oriented Dialogue Systems. CoRR abs/1905.05644 (2019) - [i30]Sankarshan Damle, Boi Faltings, Sujit Gujar:
A Practical Solution to Yao's Millionaires' Problem and Its Application in Designing Secure Combinatorial Auction. CoRR abs/1906.06567 (2019) - [i29]Cyril van Schreven, Naman Goel, Boi Faltings:
Infochain: A Decentralized System for Truthful Information Elicitation. CoRR abs/1908.10258 (2019) - [i28]Adam Richardson, Aris Filos-Ratsikas, Boi Faltings:
Rewarding High-Quality Data via Influence Functions. CoRR abs/1908.11598 (2019) - [i27]Boi Faltings, Martin Charles Golumbic:
An Effective Upperbound on Treewidth Using Partial Fill-in of Separators. CoRR abs/1909.02789 (2019) - [i26]Diego Antognini, Claudiu Musat, Boi Faltings:
Multi-Dimensional Explanation of Reviews. CoRR abs/1909.11386 (2019) - [i25]Diego Antognini, Boi Faltings:
Learning to Create Sentence Semantic Relation Graphs for Multi-Document Summarization. CoRR abs/1909.12231 (2019) - [i24]Aleksei Triastcyn, Boi Faltings:
Federated Generative Privacy. CoRR abs/1910.08385 (2019) - [i23]Aleksei Triastcyn, Boi Faltings:
Federated Learning with Bayesian Differential Privacy. CoRR abs/1911.10071 (2019) - [i22]Panayiotis Danassis, Marija Sakota, Aris Filos-Ratsikas, Boi Faltings:
Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation. CoRR abs/1912.08066 (2019) - 2018
- [j52]Igor Kulev, Pearl Pu, Boi Faltings:
A Bayesian Approach to Intervention-Based Clustering. ACM Trans. Intell. Syst. Technol. 9(4): 44:1-44:23 (2018) - [c220]Goran Radanovic, Boi Faltings:
Partial Truthfulness in Minimal Peer Prediction Mechanisms With Limited Knowledge. AAAI 2018: 1595-1602 - [c219]Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings:
Information Gathering With Peers: Submodular Optimization With Peer-Prediction Constraints. AAAI 2018: 1603-1610 - [c218]Naman Goel, Mohammad Yaghini, Boi Faltings:
Non-Discriminatory Machine Learning Through Convex Fairness Criteria. AAAI 2018: 3029-3036 - [c217]Panayiotis Danassis, Boi Faltings:
Learning in Ad-hoc Anti-coordination Scenarios. AAAI Spring Symposia 2018 - [c216]Naman Goel, Mohammad Yaghini, Boi Faltings:
Non-Discriminatory Machine Learning through Convex Fairness Criteria. AIES 2018: 116 - [c215]Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings, Pan Hui:
Privacy Preserving and Cost Optimal Mobile Crowdsensing Using Smart Contracts on Blockchain. MASS 2018: 442-450 - [c214]Stéphane Martin, Boi Faltings, Vincent Schickel:
Enhancing Session-Based Recommendations through Sequential Modeling. UMAP 2018: 359-360 - [i21]Panayiotis Danassis, Boi Faltings:
A Courteous Learning Rule for Ad-hoc Anti-coordination. CoRR abs/1801.07140 (2018) - [i20]Aleksei Triastcyn, Boi Faltings:
Generating Differentially Private Datasets Using GANs. CoRR abs/1803.03148 (2018) - [i19]Naman Goel, Boi Faltings:
Deep Bayesian Trust : A Dominant Strategy and Fair Reward Mechanism for Crowdsourcing. CoRR abs/1804.05560 (2018) - [i18]Jun Lu, Wei Ma, Boi Faltings:
CompNet: Neural networks growing via the compact network morphism. CoRR abs/1804.10316 (2018) - [i17]Fei Mi, Boi Faltings:
Context Tree for Adaptive Session-based Recommendation. CoRR abs/1806.03733 (2018) - [i16]Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings, Pan Hui:
Privacy Preserving and Cost Optimal Mobile Crowdsensing using Smart Contracts on Blockchain. CoRR abs/1808.04056 (2018) - [i15]Naman Goel, Boi Faltings:
Crowdsourcing with Fairness, Diversity and Budget Constraints. CoRR abs/1810.13314 (2018) - 2017
- [b1]Boi Faltings, Goran Radanovic:
Game Theory for Data Science: Eliciting Truthful Information. Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers 2017 - [j51]Boi Faltings, Goran Radanovic:
Mechanismen zur Beschaffung korrekter Daten. Inform. Spektrum 40(1): 64-74 (2017) - [j50]Brammert Ottens, Christos Dimitrakakis, Boi Faltings:
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. ACM Trans. Intell. Syst. Technol. 8(5): 69:1-69:27 (2017) - [c213]Fei Mi, Boi Faltings:
Adaptive Sequential Recommendation for Discussion Forums on MOOCs using Context Trees. EDM 2017 - [i14]Boi Faltings, Radu Jurca, Goran Radanovic:
Peer Truth Serum: Incentives for Crowdsourcing Measurements and Opinions. CoRR abs/1704.05269 (2017) - [i13]Chaitanya K. Joshi, Fei Mi, Boi Faltings:
Personalization in Goal-Oriented Dialog. CoRR abs/1706.07503 (2017) - [i12]Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings, Pan Hui:
LocalCoin: An Ad-hoc Payment Scheme for Areas with High Connectivity. CoRR abs/1708.08086 (2017) - [i11]Goran Radanovic, Boi Faltings:
Partial Truthfulness in Minimal Peer Prediction Mechanisms with Limited Knowledge. CoRR abs/1711.06614 (2017) - [i10]Goran Radanovic, Adish Singla, Andreas Krause, Boi Faltings:
Information Gathering with Peers: Submodular Optimization with Peer-Prediction Constraints. CoRR abs/1711.06740 (2017) - 2016
- [j49]Goran Radanovic, Boi Faltings, Radu Jurca:
Incentives for Effort in Crowdsourcing Using the Peer Truth Serum. ACM Trans. Intell. Syst. Technol. 7(4): 48:1-48:28 (2016) - [c212]Sujit Gujar, Boi Faltings:
Auction Based Mechanisms for Dynamic Task Assignments in Expert Crowdsourcing. AMEC/TADA 2016: 50-65 - [c211]Goran Radanovic, Boi Faltings:
Limiting the Influence of Low Quality Information in Community Sensing. AAMAS 2016: 873-881 - [c210]Sujit Gujar, Boi Faltings:
Online Auctions for Dynamic Assignment: Theory and Empirical Evaluation. ECAI 2016: 1035-1043 - [c209]Goran Radanovic, Boi Faltings:
Learning to Scale Payments in Crowdsourcing with PropeRBoost. HCOMP 2016: 179-188 - [c208]Fei Mi, Boi Faltings:
Adaptive Sequential Recommendation Using Context Trees. IJCAI 2016: 4018-4019 - [c207]Dimitris Chatzopoulos, Sujit Gujar, Boi Faltings, Pan Hui:
LocalCoin: An ad-hoc payment scheme for areas with high connectivity: poster. MobiHoc 2016: 365-366 - 2015
- [c206]Goran Radanovic, Boi Faltings:
Incentives for Subjective Evaluations with Private Beliefs. AAAI 2015: 1014-1020 - [c205]Goran Radanovic, Boi Faltings:
Incentive Schemes for Participatory Sensing. AAMAS 2015: 1081-1089 - [c204]Goran Radanovic, Boi Faltings:
Incentivizing truthful responses with the logarithmic peer truth serum. UbiComp/ISWC Adjunct 2015: 1349-1354 - [c203]Claudiu Cristian Musat, Boi Faltings:
Personalizing Product Rankings Using Collaborative Filtering on Opinion-Derived Topic Profiles. IJCAI 2015: 830-836 - [c202]Andrii Maksai, Florent Garcin, Boi Faltings:
Predicting Online Performance of News Recommender Systems Through Richer Evaluation Metrics. RecSys 2015: 179-186 - 2014
- [j48]Ludek Cigler, Boi Faltings:
Symmetric Subgame-Perfect Equilibria in Resource Allocation. J. Artif. Intell. Res. 49: 323-361 (2014) - [j47]Boi Faltings, Jason Jingshi Li, Radu Jurca:
Incentive Mechanisms for Community Sensing. IEEE Trans. Computers 63(1): 115-128 (2014) - [j46]Immanuel Trummer, Boi Faltings, Walter Binder:
Multi-Objective Quality-Driven Service Selection - A Fully Polynomial Time Approximation Scheme. IEEE Trans. Software Eng. 40(2): 167-191 (2014) - [c201]Arnaud Jutzeler, Jason Jingshi Li, Boi Faltings:
A Region-Based Model for Estimating Urban Air Pollution. AAAI 2014: 424-430 - [c200]Goran Radanovic, Boi Faltings:
Incentives for Truthful Information Elicitation of Continuous Signals. AAAI 2014: 770-776 - [c199]Marina Boia, Claudiu Cristian Musat, Boi Faltings:
Acquiring Commonsense Knowledge for Sentiment Analysis through Human Computation. AAAI 2014: 901-907 - [c198]Florent Garcin, Boi Faltings:
Swissnoise: Online Polls with Game-Theoretic Incentives. AAAI 2014: 2972-2977 - [c197]Marina Boia, Claudiu Cristian Musat, Boi Faltings:
Constructing Context-Aware Sentiment Lexicons with an Asynchronous Game with a Purpose. CICLing (2) 2014: 32-44 - [c196]Julian Runge, Peng Gao, Florent Garcin, Boi Faltings:
Churn prediction for high-value players in casual social games. CIG 2014: 1-8 - [c195]Boi Faltings, Radu Jurca, Pearl Pu, Bao Duy Tran:
Incentives to Counter Bias in Human Computation. HCOMP 2014 - [c194]Florent Garcin, Boi Faltings, Olivier Donatsch, Ayar Alazzawi, Christophe Bruttin, Amr Huber:
Offline and online evaluation of news recommender systems at swissinfo.ch. RecSys 2014: 169-176 - [c193]Florent Garcin, Frederik Galle, Boi Faltings:
Focal: a personalized mobile news reader. RecSys 2014: 369-370 - [c192]Marina Boia, Claudiu Cristian Musat, Boi Faltings:
Acquiring commonsense knowledge for sentiment analysis using human computation. WWW (Companion Volume) 2014: 225-226 - [i9]Radu Jurca, Boi Faltings:
Mechanisms for Making Crowds Truthful. CoRR abs/1401.3451 (2014) - [i8]Ludek Cigler, Boi Faltings:
Decentralized Anti-coordination Through Multi-agent Learning. CoRR abs/1402.0583 (2014) - [i7]Thomas Léauté, Boi Faltings:
Protecting Privacy through Distributed Computation in Multi-agent Decision Making. CoRR abs/1402.0589 (2014) - 2013
- [j45]Stefano Bistarelli, Boi Faltings, Nicoleta Neagu:
Interchangeability with thresholds and degradation factors for Soft CSPs. Ann. Math. Artif. Intell. 67(2): 123-163 (2013) - [j44]Ludek Cigler, Boi Faltings:
Decentralized Anti-coordination Through Multi-agent Learning. J. Artif. Intell. Res. 47: 441-473 (2013) - [j43]Thomas Léauté, Boi Faltings:
Protecting Privacy through Distributed Computation in Multi-agent Decision Making. J. Artif. Intell. Res. 47: 649-695 (2013) - [c191]Claudiu Cristian Musat, Boi Faltings:
A Novel Human Computation Game for Critique Aggregation. AAAI (Late-Breaking Developments) 2013 - [c190]Goran Radanovic, Boi Faltings:
A Robust Bayesian Truth Serum for Non-Binary Signals. AAAI 2013 - [c189]Claudiu Cristian Musat, Yizhong Liang, Boi Faltings:
Recommendation Using Textual Opinions. IJCAI 2013: 2684-2690 - [c188]Li Pu, Boi Faltings:
Understanding and improving relational matrix factorization in recommender systems. RecSys 2013: 41-48 - [c187]Florent Garcin, Christos Dimitrakakis, Boi Faltings:
Personalized news recommendation with context trees. RecSys 2013: 105-112 - [c186]Florent Garcin, Boi Faltings:
PEN RecSys: a personalized news recommender systems framework. RecSys 2013: 469-470 - [c185]Claudiu Cristian Musat, Boi Faltings, Philippe Rousille:
Direct Negative Opinions in Online Discussions. SocialCom 2013: 142-147 - [c184]Marina Boia, Boi Faltings, Claudiu Cristian Musat, Pearl Pu:
A : ) Is Worth a Thousand Words: How People Attach Sentiment to Emoticons and Words in Tweets. SocialCom 2013: 345-350 - [i6]Florent Garcin, Christos Dimitrakakis, Boi Faltings:
Personalized News Recommendation with Context Trees. CoRR abs/1303.0665 (2013) - 2012
- [c183]Ludek Cigler, Boi Faltings:
Symmetric Subgame Perfect Equilibria in Resource Allocation. AAAI 2012 - [c182]Jason Jingshi Li, Boi Faltings, Olga Saukh, David Hasenfratz, Jan Beutel:
Sensing the Air We Breathe - The OpenSense Zurich Dataset. AAAI 2012 - [c181]Brammert Ottens, Christos Dimitrakakis, Boi Faltings:
DUCT: An Upper Confidence Bound Approach to Distributed Constraint Optimization Problems. AAAI 2012 - [c180]Brammert Ottens, Boi Faltings:
Global optimization for multiple agents. AAMAS 2012: 1273-1274 - [c179]Claudiu Cristian Musat, Alireza Ghasemi, Boi Faltings:
Sentiment Analysis Using a Novel Human Computation Game. PWNLP@ACL 2012: 1-9 - [c178]Boi Faltings, Jason Jingshi Li, Radu Jurca:
Eliciting truthful measurements from a community of sensors. IOT 2012: 47-54 - [c177]Li Pu, Boi Faltings:
Hypergraph Learning with Hyperedge Expansion. ECML/PKDD (1) 2012: 410-425 - [c176]Florent Garcin, Kai Zhou, Boi Faltings, Vincent Schickel:
Personalized News Recommendation Based on Collaborative Filtering. Web Intelligence 2012: 437-441 - [e3]Boi Faltings, Kevin Leyton-Brown, Panos Ipeirotis:
Proceedings of the 13th ACM Conference on Electronic Commerce, EC 2012, Valencia, Spain, June 4-8, 2012. ACM 2012, ISBN 978-1-4503-1415-2 [contents] - 2011
- [c175]Thomas Léauté, Boi Faltings:
Distributed Constraint Optimization Under Stochastic Uncertainty. AAAI 2011 - [c174]Ludek Cigler, Boi Faltings:
Reaching correlated equilibria through multi-agent learning. AAMAS 2011: 509-516 - [c173]Toshihiro Matsui, Marius Silaghi, Katsutoshi Hirayama, Makoto Yokoo, Boi Faltings, Hiroshi Matsuo:
Reducing the Search Space of Resource Constrained DCOPs. CP 2011: 576-590 - [c172]Tenda Okimoto, Yongjoon Joe, Atsushi Iwasaki, Makoto Yokoo, Boi Faltings:
Pseudo-Tree-Based Incomplete Algorithm for Distributed Constraint Optimization with Quality Bounds. CP 2011: 660-674 - [c171]Boi Faltings:
Using Incentives to Obtain Truthful Information. ICAART (Revised Selected Papers) 2011: 3-10 - [c170]Boi Faltings:
Getting Agents to Tell the Truth. ICAART (1) 2011: 9-12 - [c169]Immanuel Trummer, Boi Faltings:
Dynamically Selecting Composition Algorithms for Economical Composition as a Service. ICSOC 2011: 513-522 - [c168]Immanuel Trummer, Boi Faltings:
Optimizing the Tradeoff between Discovery, Composition, and Execution Cost in Service Composition. ICWS 2011: 476-483 - [c167]Thomas Léauté, Boi Faltings:
Coordinating Logistics Operations with Privacy Guarantees. IJCAI