-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathpublications.html
283 lines (227 loc) · 18.9 KB
/
publications.html
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">
<html xmlns="http://www.w3.org/1999/xhtml">
<head profile="http://gmpg.org/xfn/11">
<title>Isabel Valera</title>
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8" />
<meta name="robots" content="index, follow" />
<link rel="stylesheet" type="text/css" href="css/style.css" media="screen" />
<!-- Alt Stylesheet -->
<link href="css/purple.css" rel="stylesheet" type="text/css" />
<!-- Custom Favicon -->
<link rel="shortcut icon" href="images/cropped-isabel1-300x194.jpg"/>
<link href="css/shortcodes.css" rel="stylesheet" type="text/css" />
<!-- Custom Stylesheet -->
<link href="css/custom.css" rel="stylesheet" type="text/css" />
<style type="text/css" media="screen">
html { margin-top: 28px !important; }
* html body { margin-top: 28px !important; }
</style>
<link href="http://fonts.googleapis.com/css?family=Anton" rel="stylesheet" type="text/css" />
</head>
<body class="single single-post postid-48 single-format-standard logged-in admin-bar no-customize-support chrome">
<?html
?>
<div id="container">
<div id="header" class="col-full">
<div id="logo" class="fr">
<a href="#" title="Isabel Valera, Max Planck Institute for Intelligent Systems">
<img class="title" style="border:6px solid #CBA8E7;padding:3px" width="220px" src="images/IsaWeb.png" alt="Isabel Valera" />
</a>
<span class="site-title">
<a href="http://localhost/isaWp">
Isabel Valera
</a>
</span>
<span class="site-description">Saarland Informatics Campus</span>
</div><!-- /#logo -->
<div id="descripcion" class="nav" style="margin-top:5px;">
<h1 style="font-size:40px;color:#3B0466"> Prof. Dr. Isabel Valera</h1><br/>
<h1>Saarland Informatics Campus
</br></br></h1>
</div>
<div id="pagenav" class="nav fl">
<ul>
<li class="b page_item current_page_item">
<a href="https://ivaleram.github.io/">Home</a>
</li>
<li class="page_item page-item-8">
<a href="https://ivaleram.github.io/publications.html">Research</a>
</li>
<li class="page_item page-item-8">
<a href="https://ivaleram.github.io/code.html">Software</a>
</li>
<li class="page_item page-item-44">
<a href="https://ivaleram.github.io/cv.html">CV</a>
</li>
</ul>
</div><!-- /#pagenav -->
</div>
<div id="content" class="col-full">
<div id="sidebar" class="col-right">
<div id="search_main" class="widget">
<table class="tablePurple">
<col style="width:80px"></col>
<col style="width:200px"></col>
<tbody>
<tr>
<td class="celdaClara">
E-mail:
</td>
<td class="celdaOscura">
</td>
</tr>
<tr>
<td class="celdaClara">
Address:
</td>
<td class="celdaOscura">
Department of Computer Science</br>
Saarland Informatics Campus</br>
Bldg. E1 1, R. 225</br>
66123 Saarbrücken, Germany
</td>
</tr>
<tr>
<td class="celdaClara">
Phone:
</td>
<td class="celdaOscura">
+49 (0)681 302-57328
</td>
</tr>
</tbody>
</table>
</div>
</div>
<div id="main" class="col-left">
<span style="font-size:18px;font-family: 'serif'"><a href="#anclaThesis"><b>THESIS </b></a> <a href="#anclaJournals"><b>JOURNALS </b></a> <a href="#anclaConferences"><b>CONFERENCES </b></br></br>
<a name="anclaThesis"></a>
<div class="post">
<h2 class="title">THESIS</h2>
I. Valera. <b>"Bayesian Nonparametric Modeling of Psychiatric Disorders"</b>.
PhD dissertation. November 2014. [<a href="http://e-archivo.uc3m.es/handle/10016/20448#preview" >pdf</a>]</br>
</div>
</div>
<div id="main" class="col-left">
<a name="anclaJournals"></a>
<div class="post">
<h2 class="title">JOURNALS</h2>
<span class="titleYear">2018</span>
B. Zafar, I. Valera, M. Gomez-Rodriguez and K. Gummadi, <b>"Fairness Constraints: Fairness Constraints: A Flexible Approach for Fair Classification"</b>, Accepted for publication at the Journal on Machine Learning (JMLR), 2018.</br></br>
F. J. R. Ruiz, I. Valera, L. Svensson and F. Perez-Cruz, <b>"Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation</b>."
IEEE Transactions on Cognitive Communications and Networking, vol. PP, no. 99, pp. 1-1. 2018. </br></br>
<span class="titleYear">2017</span>
I. Valera, M. F. Pradier and Z. Ghahramani. <b>"General Latent Feature Models for Heterogeneous Datasets</b>." ArXiv, 2017. [<a href="https://arxiv.org/abs/1706.03779" >PDF</a>] [<a href="https://github.com/ivaleraM/GLFM" >CODE</a>]</br></br>
<span class="titleYear">2015</span>
I. Valera, F. J. R. Ruiz, P. M. Olmos, C. Blanco and F. Perez-Cruz. <b>"Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis"</b>.
Neural Computation Vol. 28, 354-381. MIT Press, 2015.</br></br>
I. Valera, F. J. R. Ruiz and F. Perez-Cruz. <b>"Infinite Factorial Unbounded-State Hidden Markov Model"</b>.
IEEE Transactions on Pattern Analysis and Machine Inteligence Vol. PP, 1. 2015.</br></br>
<span class="titleYear">2014</span>
F. J. R. Ruiz, I. Valera, C. Blanco and F. Perez-Cruz. <b>"Bayesian Nonparametric Comorbidity Analysis
of Psychiatric Disorders"</b>. Journal of Machine Learning Research 15. 1215-1247.[<a href="http://jmlr.org/papers/volume15/ruiz14a/ruiz14a.pdf" >pdf</a>]</br></br>
<span class="titleYear">2013</span>
<!-- I. Valera, F. J. R. Ruiz and F. Perez-Cruz. <b>"An Infinite Factorial Unbounded-State HMM for Blind Multiuser Channel Estimation"</b>.
IEEE Transactions on Signal Processing. 2013. Submitted.</br></br>
I. Valera, F. J. R. Ruiz and F. Perez-Cruz. <b>"Infinite Factorial Unbounded-State Hidden Markov Model"</b>. IEEE
Transaction on Pattern Analysis and Machine Intelligence, Submitted.</br></br> -->
I. Valera, B. T. Sieskul and J. Míguez, <b>"On the Maximum Likelihood Estimation of the ToA under
an Imperfect Path Loss Exponent"</b>. EURASIP Journal on Wireless Communications and Networking, Volume 2013. [<a href="http://jwcn.eurasipjournals.com/content/pdf/1687-1499-2013-158.pdf" >pdf</a>]
</div>
</div>
<div id="main" class="col-left">
<a name="anclaConferences"></a>
<div class="post">
<h2 class="title">CONFERENCES</h2>
<span class="titleYear">2019</span>
T. Adel, I. Valera (MPI-IS), Z. Ghahramani and A. Weller, <b>"One-network Adversarial Models"</b>, 33rd AAAI Conference on Artificial Intelligence (AAAI 2019). Honolulu (Hawai), January 2019. </br></br>
A. Vergari, A. Molina, R. Peharz, Z. Ghahramani, K. Kersting, I. Valera, <b>"Automatic Bayesian Density Analysis"</b>, 33rd AAAI Conference on Artificial Intelligence (AAAI 2019). Honolulu (Hawai), January 2019. </br></br>
<span class="titleYear">2018</span>
F. Locatello, G. Dresdner, R. Khanna, I. Valera, G. Rätsch <b>"Boosting Black Box Variational Inference"</b>, Neural Information Processing Systems Conference 2018 (NIPS 2018). Montreal (Canada), December. [<a href="https://arxiv.org/abs/1806.02185" >pdf</a>]</br></br>
I. Valera, A. Singla, M. Gomez-Rodriguez, <b>"Enhancing Human Decision Making via Assignment Optimization"</b>, Neural Information Processing Systems Conference 2018 (NIPS 2018). Montreal (Canada), December 2018. [<a href="https://arxiv.org/abs/1805.10318" >pdf</a>]</br></br>
A. Nazábal, P. M. Olmos, Z. Ghahramani, I. Valera, <b>"Handling Incomplete Heterogeneous Data using VAEs"</b>, Arxiv preprint, July 2018. [<a href="https://arxiv.org/abs/1807.03653" >pdf</a>] [<a href="https://github.com/probabilistic-learning/HI-VAE" >CODE</a>]</br></br>
<span class="titleYear">2017</span>
B. Zafar, I. Valera, M. Gomez-Rodriguez, K. Gummadi and A. Weller, <b>"From Parity to Preference: Learning with Cost-effective Notions of Fairness"</b>, Neural Information Processing Systems (NIPS), Long Beach (CA, USA), December 2017. </br></br>
I. Valera and Z. Ghahramani, <b>"Automatic Discovery of the Statistical Types of Variables in a Dataset"</b>, 34th International Conference on Machine Learning (ICML 2017). Sydney (Australia), 2017.</br></br>
B. Zafar, I. Valera, M. Gomez-Rodriguez and K. Gummadi, <b>"Fairness Constraints: Mechanisms for Fair Classification"</b>, 20th International Conference on Artificial Intelligence and Statistics (AISTATS), Florida (USA), April 2017.</br></br>
B. Tabibian, I. Valera, M. Farajtabar, L. Song, B. Schoelkopf and M. Gomez Rodriguez, <b>"Distilling Information Reliability and Source Trustworthiness from Digital Traces"</b>, (Full paper) 26th International World Wide Web Conference (WWW), Perth (Australia), April 2017. </br></br>
B. Zafar, I. Valera, M. Gomez-Rodriguez and K. Gummadi, <b>"Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment"</b>, (Full paper) 26th International World Wide Web Conference (WWW), Perth (Australia), April 2017. <b>Best Paper Award Honorable Mention.</b>
</br></br>
C. Mavroforakis, I. Valera and M. Gomez-Rodriguez, <b>"Modeling the Dynamics of Learning Activity on the Web"</b>, (Full paper) 26th International World Wide Web Conference (WWW), Perth (Australia), April 2017.</br></br>
U. Upadhyay, I. Valera and M. Gomez-Rodriguez, <b>"Uncovering the Dynamics of Crowdlearning and the Value of Knowledge"</b>, The 10th ACM International Conference on Web Search and Data Mining (WSDM), Cambridge (UK), 2017.
</br></br>
<span class="titleYear">2016</span>
I. Valera and Z. Ghahramani, <b>"Automatic Discovery of the Statistical Types of Variables in a Dataset"</b>, Workshop on Artificial Intelligence for Data Science at Neural Information Processing Systems Conference 2016 (NIPS 2016). Barcelona (Spain), 2016.</br></br>
U. Upadhyay, I. Valera and M. Gomez-Rodriguez, <b>"Uncovering the Dynamics of Crowdlearning and the Value of Knowledge"</b>, Workshop on Machine learning for Education at Neural Information Processing Systems Conference 2016 (NIPS 2016). Barcelona (Spain), 2016.</br></br>
B. Zafar, I. Valera, M. Gomez-Rodriguez and K. Gummadi, <b>"Fairness Beyond Disparate Treatment and Disparate Impact: Learning Classification without Disparate Mistreatment"</b>, Workshop in Fairness, Accountability and Transparency in Machine Learning (FATML 2016), NYC (USA), November 2016.
</br></br>
A. De, I. Valera, N. Ganguly, S. Bhattacharya, M. Gomez Rodriguez, <b>"Learning and Forecasting Opinion Dynamics in Social Networks"</b>, Neural Information Processing Systems Conference 2016 (NIPS 2016). Barcelona (Spain), 2016.
</br></br>
B. Tabibian, M. Farajtabar, I. Valera, L. Song, B. Schoelkopf and M. Gomez Rodriguez, <b>"On the Reliability of Information and Trustworthiness of Web Sources in Wikipedia"</b>, Wiki Workshop at the 10th International AAAI Conference on Web and Social Media (ICWSM 2016). Cologne (Germany), May 2016.
</br></br>
M. Babaei, P. Grabowicz, I. Valera and M. Gomez-Rodriguez, <b>"On the Efficiency of the Information Networks in Social Media"</b>,
The 9th ACM International Conference on Web Search and Data Mining (WSDM), San Francisco (CA, USA), 2016.
</br></br>
<span class="titleYear">2015</span>
C. Mavroforakis, I. Valera and M. Gomez-Rodriguez, <b>"Hierarchical Dirichlet Hawkes Process for Modeling the Dynamics of Online Learning Activity" </b>,
Workshop on Networks in the Social and Information Sciences at Neural Information Processing Systems Conference 2015 (NIPS 2015). Montreal (Canada), 2015.</br></br>
I. Valera, F. J. R. Ruiz, L. Svensson and F. Perez-Cruz, <b>"Infinite Factorial Dynamical Model"</b>,
Neural Information Processing Systems Conference 2015 (NIPS 2015). Montreal (Canada), 2015.
</br></br>
I. Valera and M. Gomez-Rodriguez, <b>"Modeling Adoption and Usage of Competing Products" </b>,
IEEE International Conference on Data Mining (ICDM 2015), Atlantic City (NJ, USA), 2015.</br></br>
I. Valera, F. J. R. Ruiz, L. Svensson and F. Perez-Cruz, <b>"A Bayesian Nonparametric Approach for Blind Multiuser Channel Estimation"</b>,
invited talk at the special session on Bayesian non-parametrics for signal and image processing at the European Signal Processing Conference 2015 (EUSIPCO 2015). Nice (France), August 2015.
</br></br>
B. Zafar, I. Valera, M. Gomez-Rodriguez and K. Gummadi, <b>"Fairness Constraints: A Mechanism for Fair Classification"</b>,
Workshop in Fairness, Accountability and Transparency in Machine Learning, 32nd International Conference on Machine Learning (ICML), Lille (France), July 2015.
</br> </br>
M. Babaei, P. Grabowicz, I. Valera and M. Gomez-Rodriguez, <b>"On the Users' Efficiency in the Twitter Information Network"</b>, short paper at the 9th International AAAI Conference on Web and Social Media (ICWSM2015). Oxford (UK), May 2015.
</br> </br>
<span class="titleYear">2014</span>
I. Valera, M. Gomez-Rodriguez and K. Gummadi, <b>"Modeling Adoption and Usage Frequency of Competing Products and Conventions in Social Media" </b>,
Workshop in "Networks: From Graphs to Rich Data" at Neural Information Processing Systems Conference 2014 (NIPS2014).</br></br>
M. Farajtabar, N. Du, I. Valera, L. Song, M. Gomez-Rodrigez, H. Zha, <b>"Shaping Social Activity by Incentivizing Users"</b>, Neural Information Processing Systems Conference 2014 (NIPS 2014). Montreal (Canada), 2014.</br></br>
I. Valera and Z. Ghahramani, <b>"General Table Completion using a Bayesian Nonparametric Model"</b>, Neural Information Processing Systems Conference 2014 (NIPS 2014). Montreal (Canada), 2014. [<a href="content/GIBP_code.zip" >CODE</a>]</br></br>
I. Valera, F. J. R. Ruiz and F. Perez-Cruz, <b>"Infinite Factorial Unbounded Hidden Markov Model For Blind Multiuser Channel Estimation"</b>, 4th International Workshop on Cognitive Information Processing (CIP2014). Copenhagen (Denmark), May 2014.</br></br>
<span class="titleYear">2013</span>
F. J. R. Ruiz, I. Valera, P. M. Olmos, C. Blanco and F. Perez-Cruz. <b>"Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis"</b>. Workshop in Machine Learning for Clinical Data Analysis and Healthcare at Neural
Information Processing Systems Conference 2013 (NIPS2013).[<a href="https://googledrive.com/host/0B0TBaU3UgQ0Da3A2S2VWNTRzc1E/3.pdf" >pdf</a>]</br></br>
F. J. R. Ruiz, I. Valera, C. Blanco and F. Perez-Cruz.<b> "Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders"</b>. 9th Conference on Bayesian Nonparametrics, 2013.
</br> </br>
<span class="titleYear">2012</span>
F. J. R. Ruiz, I. Valera, C. Blanco and F. Perez-Cruz, <b>"Bayesian Nonparametric Modeling of Suicide Attempts"</b>, Neural
Information Processing Systems Conference 25:1862-1870 (<a href="http://www.videolectures.net/isabel_valera/" >spotlight</a>). Lake Tahoe (NV, USA), December 2012. [<a href="http://books.nips.cc/papers/files/nips25/NIPS2012_0921.pdf" >pdf</a>]</br></br>
<span class="titleYear">2010</span>
M. I. Valera Martinez, B. T. Sieskul, F. Zheng, and T. Kaiser, <b>"A Hybrid SS-ToA Wireless
Geolocation Based on Path Attenuation under Imperfect Path Loss Exponent"</b>, 2010 European
Signal Processing Conference (EUSIPCO-2010). Aalborg, Denmark, August 2010. [<a href="http://www.google.es/url?sa=t&rct=j&q=&esrc=s&source=web&cd=6&ved=0CFQQFjAF&url=http%3A%2F%2Fwww.eurasip.org%2FProceedings%2FEusipco%2FEusipco2010%2FContents%2Fpapers%2F1569292415.pdf&ei=9-b2UKajF9SHhQey5IHwDQ&usg=AFQjCNGgj0PjokDFXN3ozUzeVBV6OqG1xg&bvm=bv.41018144,d.ZG4&cad=rja" >pdf</a>] </br></br>
B. Florentino, I. Valera, M. De Prado, A. Arenal, A. Artés, <b>"Un ejemplo de minería de datos (An example of data mining)"</b>,
Congreso Anual de la Sociedad Española de Ingeniería Biomédica 2010 (CASEIB 2010). Madrid, Spain, November 2010.
</div>
</div>
<div class="fix"></div>
</div>
<div id="extended-footer">
<div class="col-full">
<div class="block one">
</div><!-- /.block -->
<div class="block two">
</div><!-- /.block -->
<div class="block three">
</div><!-- /.block -->
</div><!-- /.col-full -->
</div><!-- /#extended-footer -->
<div id="footer">
<div class="col-full">
<div id="copyright" class="col-left">
<p>© 2020 Isabel Valera, Saarlan Informatics Campus</p>
</div>
<div id="credit" class="col-right">
</div>
</div><!-- /.col-full -->
</div><!-- /#footer -->
</div>
</body>
<!DOCTYPE html PUBLIC "-//W3C//DTD XHTML 1.0 Transitional//EN" "http://www.w3.org/TR/xhtml1/DTD/xhtml1-transitional.dtd">