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Publication search results
found 97 matches
- 2024
- David Rohde:
Position Paper: Why the Shooting in the Dark Method Dominates Recommender Systems Practice; A Call to Abandon Anti-Utopian Thinking. CoRR abs/2402.02152 (2024) - Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba:
Bayesian Off-Policy Evaluation and Learning for Large Action Spaces. CoRR abs/2402.14664 (2024) - 2023
- Borislav Tadic, Markus Rohde, Dave W. Randall, Volker Wulf:
Design Evolution of a Tool for Privacy and Security Protection for Activists Online: Cyberactivist. Int. J. Hum. Comput. Interact. 39(1): 249-271 (2023) - Otmane Sakhi, David Rohde, Alexandre Gilotte:
Fast Offline Policy Optimization for Large Scale Recommendation. AAAI 2023: 9686-9694 - Karina Honey, David Alastair Robb, Fiona H. Rohde:
Are we contributing? The who, when, where, and what of the Blockchain Research Landscape. HICSS 2023: 5372-5380 - Sarah Rüller, Konstantin Aal, Peter Tolmie, David Randall, Markus Rohde, Volker Wulf:
Rurality and Tourism in Transition: How Digitalization Transforms the Character and Landscape of the Tourist Economy in Rural Morocco. HICSS 2023: 3994-4003 - Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba:
Exponential Smoothing for Off-Policy Learning. ICML 2023: 984-1017 - Javier Antorán, Arno Blaas, Kelly Buchanan, Fan Feng, Vincent Fortuin, Sahra Ghalebikesabi, Andreas Kriegler, Ian Mason, David Rohde, Francisco J. R. Ruiz, Tobias Uelwer, Yubin Xie, Rui Yang:
Proceedings on "I Can't Believe It's Not Better: Failure Modes in the Age of Foundation Models" at NeurIPS 2023 Workshops, 16 December 2023, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 239, PMLR 2023 [contents] - Imad Aouali, Victor-Emmanuel Brunel, David Rohde, Anna Korba:
Exponential Smoothing for Off-Policy Learning. CoRR abs/2305.15877 (2023) - Otmane Sakhi, David Rohde, Nicolas Chopin:
Fast Slate Policy Optimization: Going Beyond Plackett-Luce. CoRR abs/2308.01566 (2023) - 2022
- Aparecido Fabiano Pinatti de Carvalho, Saqib Saeed, Christian Reuter, Markus Rohde, David Randall, Volkmar Pipek, Volker Wulf:
Understanding Nomadic Practices of Social Activist Networks Through the Lens of Infrastructuring: the Case of the European Social Forum. Comput. Support. Cooperative Work. 31(4): 731-769 (2022) - Sarah Rüller, Konstantin Aal, Simon Holdermann, Peter Tolmie, Andrea Hartmann, Markus Rohde, Martin Zillinger, Volker Wulf:
'Technology is Everywhere, we have the Opportunity to Learn it in the Valley': The Appropriation of a Socio-Technical Enabling Infrastructure in the Moroccan High Atlas. Comput. Support. Cooperative Work. 31(2): 197-236 (2022) - Volker Wulf, Dave W. Randall, Konstantin Aal, Markus Rohde:
The Personal is the Political: Internet Filtering and Counter Appropriation in the Islamic Republic of Iran. Comput. Support. Cooperative Work. 31(2): 373-409 (2022) - Sarah Rüller, Konstantin Aal, Peter Tolmie, Andrea Hartmann, Markus Rohde, Volker Wulf:
Speculative Design as a Collaborative Practice: Ameliorating the Consequences of Illiteracy through Digital Touch. ACM Trans. Comput. Hum. Interact. 29(3): 23:1-23:58 (2022) - Karina Honey, D. Alastair Robb, Fiona H. Rohde:
Are we contributing? The who, when, where, & what of the Blockchain research landscape. ICIS 2022 - Imad Aouali, Amine Benhalloum, Martin Bompaire, Achraf Ait Sidi Hammou, Sergey Ivanov, Benjamin Heymann, David Rohde, Otmane Sakhi, Flavian Vasile, Maxime Vono:
Reward Optimizing Recommendation using Deep Learning and Fast Maximum Inner Product Search. KDD 2022: 4772-4773 - Javier Antorán, Arno Blaas, Fan Feng, Sahra Ghalebikesabi, Ian Mason, Melanie F. Pradier, David Rohde, Francisco J. R. Ruiz, Aaron Schein:
Proceedings on "I Can't Believe It's Not Better! - Understanding Deep Learning Through Empirical Falsification" at NeurIPS 2022 Workshops, 03 December 2022, New Orleans, Louisiana, USA. Proceedings of Machine Learning Research 187, PMLR 2022 [contents] - Benjamin Heymann, Flavian Vasile, David Rohde:
Welfare-Optimized Recommender Systems. CoRR abs/2206.13845 (2022) - Otmane Sakhi, David Rohde, Alexandre Gilotte:
Fast Offline Policy Optimization for Large Scale Recommendation. CoRR abs/2208.05327 (2022) - Imad Aouali, Achraf Ait Sidi Hammou, Sergey Ivanov, Otmane Sakhi, David Rohde, Flavian Vasile:
A Scalable Probabilistic Model for Reward Optimizing Slate Recommendation. CoRR abs/2208.06263 (2022) - Imad Aouali, Amine Benhalloum, Martin Bompaire, Benjamin Heymann, Olivier Jeunen, David Rohde, Otmane Sakhi, Flavian Vasile:
Offline Evaluation of Reward-Optimizing Recommender Systems: The Case of Simulation. CoRR abs/2209.08642 (2022) - Alexandre Gilotte, Ahmed Ben Yahmed, David Rohde:
Learning from aggregated data with a maximum entropy model. CoRR abs/2210.02450 (2022) - 2021
- Arif Perdana, D. Alastair Robb, Vivek Balachandran, Fiona H. Rohde:
Distributed ledger technology: Its evolutionary path and the road ahead. Inf. Manag. 58(3): 103316 (2021) - David Rohde:
Causal Inference, is just Inference: A beautifully simple idea that not everyone accepts. ICBINB@NeurIPS 2021: 75-79 - Nicolas Chopin, Mike Gartrell, Dawen Liang, Alberto Lumbreras, David Rohde, Yixin Wang:
Bayesian Causal Inference for Real World Interactive Systems. KDD 2021: 4114-4115 - Michael D. Ekstrand, Allison Chaney, Pablo Castells, Robin Burke, David Rohde, Manel Slokom:
SimuRec: Workshop on Synthetic Data and Simulation Methods for Recommender Systems Research. RecSys 2021: 803-805 - David Seus, Florin A. Radu, Christian Rohde:
Towards Hybrid Two-Phase Modelling Using Linear Domain Decomposition. CoRR abs/2106.14247 (2021) - Imad Aouali, Sergey Ivanov, Mike Gartrell, David Rohde, Flavian Vasile, Victor Zaytsev, Diego Legrand:
Combining Reward and Rank Signals for Slate Recommendation. CoRR abs/2107.12455 (2021) - 2020
- Olivier Jeunen, David Rohde, Flavian Vasile, Martin Bompaire:
Joint Policy-Value Learning for Recommendation. KDD 2020: 1223-1233 - Otmane Sakhi, Stephen Bonner, David Rohde, Flavian Vasile:
BLOB: A Probabilistic Model for Recommendation that Combines Organic and Bandit Signals. KDD 2020: 783-793
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