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Poster session
Jindong Gu · Alice Xiang · Atoosa Kasirzadeh · Zhiwei Han · Omar U. Florez · Frederik Harder · An-phi Nguyen · Amir Hossein Akhavan Rahnama · Michele Donini · Dylan Slack · Junaid Ali · Paramita Koley · Michiel Bakker · Anna Hilgard · Hailey James-Sorenson · Gonzalo Ramos · Jialin Lu · Jingying Yang · Margarita Boyarskaya · Martin Pawelczyk · Kacper Sokol · Mimansa Jaiswal · Umang Bhatt · David Alvarez-Melis · Aditya Grover · Charles Marx · Mengjiao Yang · Jingyan Wang · Gökhan Çapan · Hanchen Wang · Steffen Grünewälder · Moein Khajehnejad · Gourab Patro · Russell Kunes · Samuel Deng · Yuanting Liu · Luca Oneto · Mengze Li · Thomas Weber · Stefan Matthes · Duy Patrick Tu

Fri Dec 13 05:00 PM -- 06:00 PM (PST) @ None

Author Information

Jindong Gu (The University of Munich & Siemens)
Alice Xiang (Partnership on AI)
Atoosa Kasirzadeh (Australian National University and University of Toronto)

I am an applied mathematician (PhD in Operations Research) and a philosopher (PhD candidate in philosophy), working on the ethics and philosophy of machine learning and data science.

Zhiwei Han (fortiss GmbH)
Omar U. Florez (Capital One)

Senior Research Manager in Conversational AI at Capital One

Frederik Harder (Max Planck Institute for Intelligent Systems)
An-phi Nguyen (ETH Zurich, IBM Research Zurich)
Amir Hossein Akhavan Rahnama (KTH Royal Institute of Technology)
Michele Donini (Amazon)
Dylan Slack (UC Irvine)
Junaid Ali (Max Planck Institute for Software Systems)
Paramita Koley (Indian Institute of Technology Kharagpur)
Michiel Bakker (MIT)
Anna Hilgard (Harvard University)
Hailey James-Sorenson (Harvard College)

Harvard Computer Science

Gonzalo Ramos (Microsoft Research)
Jialin Lu (Simon Fraser University)

MSc student at Simon Fraser University with Prof. Martin Ester. I am generally interested in interpretability: interpret a complex prediction system into a small and interpretable structure. Recently I got especially interested in integrating symbolic methods with scalable deep learning approaches.

Jingying Yang (Partnership on AI)
Margarita Boyarskaya (NYU)
Martin Pawelczyk (University of Tübingen)

# Academic Exp ## Phd Student at Uni of Tübingen, Germany: ## MSc Statistics, London School of Economics, UK ## MSc Econometrics, University of Edinburgh, UK ## BSc Economics, University of Cologne, Germany # Work Exp ## ML intern at SDG financing Lab, OECD, Paris ## Working student at r2b energy consulting, Cologne

Kacper Sokol (University of Bristol)
Mimansa Jaiswal (University of Michigan)

I am a 3rd year PhD student in computer science at University of Michigan. I work with natural language and speech processing for social application domain (affect, emotion, empathy). My work is mostly focussed on distribution robustness (domain variability, confounding variables, annotation paradigms), interpretation (error analysis, understanding why a model predicts a particular class, when is it successful/wrong?) and privacy & security (black box adversarial examples, mitigating demographic variable/membership leakage).

Umang Bhatt (University of Cambridge)
David Alvarez-Melis (MIT)
Aditya Grover (Stanford University)
Charles Marx (Haverford College)
Mengjiao Yang (Google)
Jingyan Wang (Carnegie Mellon University)
Gökhan Çapan (Boğaziçi University)
Hanchen Wang (University of Cambridge)

Hey, I am a 3rd Year PhD Student in Machine Learning at Cambridge, where I work with Joan Lasenby and Adrian Weller on Geometric Deep Learning (3D, Graph). Please check my website for my recent updates :)

Steffen Grünewälder (Lancaster University)
Moein Khajehnejad (Max Planck Institute For Software Systems)
Gourab Patro (Indian Institute of Technology Kharagpur)

## About Me I am a PhD scholar (TCS research fellow) in the department of [Computer Science and Engineering](http://cse.iitkgp.ac.in) at [IIT Kharagpur](http://www.iitkgp.ac.in/),India. I work under the supervision of [Prof. Niloy Ganguly](http://www.facweb.iitkgp.ernet.in/~niloy/). My research area is Information Retrieval and Data Mining, and my research interests fall in bias & fairness aspects of AIs. I am currently a part of [Complex Networks Research Group](http://www.cnergres.iitkgp.ac.in/) at [IIT Kharagpur](http://www.iitkgp.ac.in/). <br> Please find me CV [**here**](https://drive.google.com/file/d/1QN9Gq_KkRgum0f1LhtRhaM6zZGlXgNac/view?usp=sharing). ## Publications * **Incremental Fairness in Two-Sided Market Platforms: On Updating Recommendations Fairly**<br> Short version accepted in HCML workshop, at NeurIPS 2019, Vancouver, Canada.<br> [**arXiv**](https://arxiv.org/abs/1909.10005) * **Can Location-Based Searches Create Exposure Bias ?**<br> FATES on the Web 2019 co-located with The Web Conference 2019 (WWW), San Francisco, USA * **Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations**<br> ACM FAT* Conference, 2019, Atlanta, Georgia, USA<br> [**PDF**](http://cse.iitkgp.ac.in/~gourabkp/fat2019.pdf) [**arXiv**](https://arxiv.org/abs/1811.08690) [**Paper**](https://doi.org/10.1145/3287560.3287570) ## Education * **Indian Institute of Technology Kharagpur ([IITKGP](http://iitkgp.ac.in/)) _From 2019_**<br> PhD Scholar, Department of Computer Science and Engineering<br> * **Indian Institute of Technology Kharagpur ([IITKGP](http://iitkgp.ac.in/)) _2018-19_**<br> Graduate (PhD) Student, Department of Computer Science and Engineering<br> * **Indian Institute of Technology Jodhpur ([IITJ](http://iitj.ac.in/)) _2012-2016_**<br> Bachelor of Technology in System Science - Computer Science Minor Option<br> _GPI 8.58/10, **2nd Topper in the department**_ * **Higher Secondary Board _2011_**<br> Council of Higher Secondary Education,Odisha<br> _Score 91.16 %, **6th Topper in the State of Odisha**_ * **Secondary Board _2009_**<br> Board of Secondary Education,Odisha<br> _Score 91.5 %_ ## Experience * **Max Planck Institute for Software Systems (MPI-SWS), Saarbrucken, Germany _Mar'19-May'19_**<br> Visiting Scholar _(Under Prof. Krishna Gummadi)_<br> * **IIT Kharagpur _Oct'17-Dec'17_**<br> Junior Research Fellow, Computer Science and Engineering _(Under Prof. Niloy Ganguly)_<br> * **Steelwedge Software Inc _Jul'16-Aug'17_**<br> **_(Now a part of E2open LLC,Insight Venture Partners)_**<br> Associate, S&OP Consulting and Implementation ## Awards and Achievements * **TCS Research Fellowship _2019_**<br> TCS Research Fellowship Program for Computer Science Research * **Finalist at Qualcomm Innovation Fellowship _2018_**<br> One of the finalists of QInF-India 2018 * **TNT-LatentView _2015_**<br> One of the winners of "The Number Thing",a Data Science Competition by LatentView * **Academic Distinction _2014_**<br> Got Academic Distinction from The Director of IIT Jodhpur * **State Higher Secondary Board Topper _2011_**<br> Secured 6th Rank in the State (Odisha) 12th Board Examination ## My Presentation Slides * [18th July 2019](https://docs.google.com/presentation/d/132OudCPjfCwqqvSygPO423EUvLwQwye0eDbqE6HS5MA/edit?usp=sharing), Information Retrieval Class, IIT Kharagpur * [4th July 2019](https://docs.google.com/presentation/d/1OnhRAaJZbDBqv1J3G3az4hr_gIA1mUlwz5URMeczMws/edit?usp=sharing), CNeRG Reading Group<br> "Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search" by Geyik et al. in KDD 2019 * [14th April 2019](https://docs.google.com/presentation/d/1dVlT8yS5FuH_Wa68-74udUnnAoYqBy1am-ayCxj5uYk/edit?usp=sharing), FATES on The Web (WWW)<br> "Exposure Bias in Two-Sided Platforms: The Role of Location-Based Searches" * [2nd December 2018](https://docs.google.com/presentation/d/1OOhUtVN_FJYedQpEfLa_yOhBRE-z77O_Qx9hyi9TLXM/edit?usp=sharing), CNeRG Retreat 2018, Chandipur, Odisha<br> "Equality of Voice: Towards Fair Representation in Crowdsourced Top-K Recommendations" in FAT* 2019 * [12th July 2018](https://docs.google.com/presentation/d/1vtUDyxgxqJA-SULhaIv84_28DLbmTqlMFvJJW7ZGGiQ/edit?usp=sharing), CNeRG Reading Group<br> "Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners" by Zhou et al. in KDD 2018 * [13th April 2018](https://docs.google.com/presentation/d/1OV9nfPFF83ObMEjGR7Mu1fN11r_CaLdO0VvtBsnYMRE/edit?usp=sharing), Intelligent Systems Class Presentation<br> "Recommendation Independence" by Kamishima et al. in FAT* 2018 ## Certifications * **KPMG _2015_**<br> Green Belt Six SIgma _(License:CH042015125)_ ## Significant Courseworks Scalable Data Mining, Speech and Natural Language Processing, Information Retrieval, Deep Learning, Intelligent Systems, Complex Networks, Large Scale Numerical Simulations, Performance Modeling in Computer Networks, Pattern Recognition and Machine Learning, Socio-Economic Networks and Business Dynamics, Financial Engineering, OR Optimization, Game Theory, Mathematical Macro-Economics, Embedded Systems, Dynamical Systems, Control Systems, Computer Organisation, Computer Networks, Compiler Design and Analysis, Database Systems, Algorithm Design and Analysis, Data Structure and Algorithms ## Contact _Email:_ patrogourab@gmail.com<br> _Ph:_ +91 8386837425

Russell Kunes (Columbia University)

PhD student in statistics at Columbia

Samuel Deng (Columbia University)
Yuanting Liu (fortiss GmbH)
Luca Oneto (University of Genoa)
Mengze Li (Carnegie Mellon University)
Thomas Weber (LMU Munich)
Stefan Matthes (fortiss GmbH)
Duy Patrick Tu (MIT Media Lab)

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