Items where Author is "Schölkopf, Bernhard"

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Number of items: 16.

Conference or Workshop Item (A Paper)

Kim, Jooyeon and Tabibian, Behzad and Oh, Alice and Schölkopf, Bernhard and Gomez-Rodriguez, Manuel
(2018) Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation.
In: Proceedings of the Eleventh ACM International Conference on Web Search and Data Mining, WSDM 2018, Marina Del Rey, CA, USA, February 5-9, 2018.
Conference: WSDM ACM International Conference on Web Search and Data Mining

Tabibian, Behzad and Valera, Isabel and Farajtabar, Mehrdad and Song, Le and Schölkopf, Bernhard and Gomez-Rodriguez, Manuel
(2017) Distilling Information Reliability and Source Trustworthiness from Digital Traces.
In: 26th International World Wide Web Conference (WWW'17).
Conference: WWW The Web Conference (Formerly: International World Wide Web Conference)

Gomez-Rodriguez, Manuel and Gummadi, Krishna P. and Schölkopf, Bernhard
(2014) Quantifying Information Overload in Social Media and Its Impact on Social Contagions.
In: Proceedings of the Eighth International Conference on Weblogs and Social Media, ICWSM 2014, Ann Arbor, Michigan, USA, June 1-4, 2014..

Gomez-Rodriguez, Manuel and Song, Le and Schölkopf, Bernhard
(2014) Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem.
In: Proceedings of The 27th Conference on Learning Theory, COLT 2014, Barcelona, Spain, June 13-15, 2014.
Conference: COLT Annual Conference on Computational Learning Theory

Gomez-Rodriguez, Manuel and Leskovec, Jure and Schölkopf, Bernhard
(2013) Modeling Information Propagation with Survival Theory.
In: Proceedings of the 30th International Conference on Machine Learning, ICML 2013, Atlanta, GA, USA, 16-21 June 2013.
Conference: ICML International Conference on Machine Learning

Gomez-Rodriguez, Manuel and Schölkopf, Bernhard
(2012) Submodular Inference of Diffusion Networks from Multiple Trees.
In: Proceedings of the 29th International Conference on Machine Learning, ICML 2012, Edinburgh, Scotland, UK, June 26 - July 1, 2012.
Conference: ICML International Conference on Machine Learning

Gomez-Rodriguez, Manuel and Balduzzi, David and Schölkopf, Bernhard
(2011) Uncovering the Temporal Dynamics of Diffusion Networks.
In: Proceedings of the 28th International Conference on Machine Learning, ICML 2011, Bellevue, Washington, USA, June 28 - July 2, 2011.

Gomez-Rodriguez, Manuel and Peters, Jan and Hill, Jeremy N. and Schölkopf, Bernhard
(2010) Closing the sensorimotor loop: Haptic feedback facilitates decoding of arm movement imagery.
In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, 10-13 October 2010.

Article

Kim, Jooyeon and Tabibian, Behzad and Oh, Alice and Schölkopf, Bernhard and Gomez-Rodriguez, Manuel
(2017) Leveraging the Crowd to Detect and Reduce the Spread of Fake News and Misinformation.
CoRR, abs/17.

Tabibian, Behzad and Upadhyay, Utkarsh and De, Abir and Zarezade, Ali and Schölkopf, Bernhard and Gomez-Rodriguez, Manuel
(2017) Optimizing Human Learning.
CoRR, abs/17.

Gomez-Rodriguez, Manuel and Song, Le and Du, Nan and Zha, Hongyuan and Schölkopf, Bernhard
(2016) Influence Estimation and Maximization in Continuous-Time Diffusion Networks.
ACM Transactions on Information Systems (TOIS).

Gomez-Rodriguez, Manuel and Schölkopf, Bernhard
(2012) Influence Maximization in Continuous Time Diffusion Networks.
CoRR, abs/12.

Gomez-Rodriguez, Manuel and Leskovec, Jure and Schölkopf, Bernhard
(2012) Structure and Dynamics of Information Pathways in Online Media.
CoRR, abs/12.

Steinke, Florian and Hein, Matthias and Schölkopf, Bernhard
(2010) Nonparametric Regression between General Riemannian Manifolds.
SIAM J. Imaging Sciences, 3 (3). 527–563.

Steinke, Florian and Hein, Matthias and Peters, Jan and Schölkopf, Bernhard
(2008) Manifold-valued Thin-Plate Splines with Applications in Computer Graphics.
Comput. Graph. Forum, 27 (2). 437–448.

Hein, Matthias and Bousquet, Olivier and Schölkopf, Bernhard
(2005) Maximal margin classification for metric spaces.
J. Comput. Syst. Sci., 71 (3). 333–359.

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