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Author Information
Nishith Khandwala (Stanford University)
Steve Gallant (MultiModel Research)
Gregory Way (University of Pennsylvania)
Aniruddh Raghu (Massachusetts Institute of Technology)
Li Shen (Icahn School of Medicine at Mount Sinai, ML/DL in Med Img and Bioinfo)
Aydan Gasimova (Imperial College London)
Alican Bozkurt (Northeastern University)
William Boag (MIT)
Daniel Lopez-Martinez (Massachusetts Institute of Technology)
Daniel Lopez Martinez is a researcher at the Harvard-MIT Division of Health Sciences and Technology and the MIT Media Lab, currently pursuing a PhD in Medical Engineering and Medical Physics under the supervision of Prof Rosalind Picard. Prior to joining Harvard and MIT, Daniel completed bachelor and master degrees in Biomedical Engineering at Imperial College London, where he was awarded the Medal for Excellence of the Faculty of Engineering. During his undergraduate degrees, he was an Amgen Scholar at the University of Cambridge and participated in research internships at the University of Oxford, Massachusetts Institute of Technology, Cancer Research UK Cambridge Institute and Harvard University. He also participated in the Bioscience Enterprise program at the University of Cambridge. Outside the lab, Daniel enjoys entrepreneurship and investing. He has co-founded several start-ups in the digital health and computer vision spaces, and is a part-time student at the MIT Sloan School of Management and Harvard Business School.
Ulrich Bodenhofer (QUOMATIC.AI)
Samaneh Nasiri GhoshehBolagh (Emory University)
Michelle Guo (Stanford University)
Christoph Kurz (Helmholtz Zentrum München)
Kirubin Pillay (University of Oxford)
Kimis Perros (Georgia Tech)
George H Chen (Carnegie Mellon University)
George Chen is an assistant professor of information systems at Carnegie Mellon University. He works on nonparametric prediction methods, applied to healthcare and sustainable development. He received his PhD from MIT in Electrical Engineering and Computer Science.
Alexandre Yahi (Columbia University)
Madhumita Sushil (Antwerp University Hospital; University of Antwerp)
Sanjay Purushotham (University of Maryland Baltimore County)
Elena Tutubalina (Kazan Federal University \\ Samsung-PDMI Joint AI Center, PDMI RAS \\ Neuromation)
Tejpal Virdi (Henry M. Gunn High School)
Marc-Andre Schulz (RWTH Aachen University)
Samuel Weisenthal (University of Rochester School of Medicine and Dentistry)
Bharat Srikishan (Columbia University)
Petar Veličković (University of Cambridge)
Kartik Ahuja (University of California, Los Angeles)
Andrew Miller (Columbia)
Erin Craig (Florence A. Rothman Institute)
Disi Ji (UC, Irvine)
Filip Dabek (National Intrepid Center of Excellence (NICoE), Walter Reed National Military Medical Center Bethesda, MD)
Data Scientist at NICoE, Walter Reed Bethesda. PhD Student at UMBC. Interested in machine learning and visualization.
Chloé Pou-Prom (LKS-CHART)
Hejia Zhang (Princeton University)
Janani Kalyanam (University of California, San Diego)
Wei-Hung Weng (Massachusetts Institute of Technology)
Harish Bhat (University of California, Merced)
Hugh Chen (University of Washington)
Simon Kohl (German Cancer Research Center (DKFZ))
Mingwu Gao (Michigan State)
Tingting Zhu (University of Oxford)
Ming-Zher Poh (Cardiio, Inc.)
Iñigo Urteaga (Columbia University)
I am an Associate Research Scientist in the Applied Math department at Columbia University and the Data Science Institute. I have specialized in statistical data processing, Bayesian Theory and approximate (Monte Carlo and Variational) inference methods. I am currently working on descriptive, predictive, and prescriptive modeling for electronic health records
Antoine Honoré (KTH, Royal Institute of Technology)
Alessandro De Palma (Massachusetts Institute of Technology)
Maruan Al-Shedivat (Carnegie Mellon University)
Pranav Rajpurkar (Stanford University)
Matthew McDermott (MIT)
Vincent Chen (Stanford University)
Yanan Sui (California Institute of Technology)
Yun-Geun Lee (Naver)
Li-Fang Cheng (Princeton University)
Chen Fang (Florida International University)
Sibt ul Hussain (Automotive Artificial Intelligence National University of Computer & Emerging Sciences)
Cesare Furlanello (FBK)
Zeev Waks (Intel Corporaiton)
Hiba Chougrad (UNIVERSITY CHOUAIB DOUKKALI)
Hedvig Kjellstrom (KTH Royal Institute of Technology)
Finale Doshi-Velez (Harvard)
Wolfgang Fruehwirt (Medical University of Vienna & University of Oxford)
Yanqing Zhang (Georgia State University)
Lily Hu (Salesforce Research)
Junfang Chen (Heidelberg University)
Sunho Park (Cleveland Clinic)
Gatis Mikelsons (University of Oxford)
Jumana Dakka (Rutgers University)
Interested in fMRI deep learning
Stephanie Hyland (ETH Zurich/Cornell)
yann chevaleyre (University of Paris Dauphine)
Hyunwoo Lee (Samsung Electronics Co., Ltd.)
Xavier Giro-i-Nieto (UPC Barcelona)
Xavier Giro-i-Nieto is an associate professor at the Universitat Politecnica de Catalunya (UPC). He graduated in Electrical Engineering studies at ETSETB (UPC) in 2000, after completing his master thesis on image compression at the Vrije Universiteit in Brussels (VUB) under the direction of Professor Peter Schelkens. In 2001 he worked in the digital television group of Sony Brussels, before returning to Barcelona and joining the Image Processing Group at the UPC. Since 2003, he has created and taught graduate and undergraduate courses for Electrical Engineering degress at the ESEIAAT and ETSETB schools from UPC. In 2013 he participated in the design of the Master in Computer Vision of Barcelona by UPC, UAB, UPF and UOC universities, where he lectures on deep learning, image retrieval and video processingl. He has taught several international courses in the framework of the European Erasmus program. He obtained his Phd on image retrieval in 2012, under the supervision by Professor Ferran Marqués from UPC and Professor Shih-Fu Chang from Columbia University. He was a visiting scholar during Summers 2008 to 2014 at the Digital Video and MultiMedia laboratory at Columbia University, in New York. His relation with industry includes collaborations with Mediapro, Catalan Broadcast Corporation (TV3), Pixable, Catchoom and Narrative.
David Kale (University of Southern California)
Michael Hughes (Tufts University)
Gabriel Erion (University of Washington)
Rishab Mehra (Stanford Vision Lab)
William Zame (UCLA)
Stojan Trajanovski (Philips Research)
I am a scientist in Philips Research, working on deep learning projects. I am also a visiting researcher at Delft University of Technology (TU Delft), The Netherlands, where I obtained my PhD degree with cum laude. My research focuses are network science, complex networks, game theory, algorithms and machine learning. I graduated with distinction from the Master program in Computer Science at the University of Cambridge, UK. Even before, I won a bronze medal at the International Math Olympiad.
Prithwish Chakraborty (IBM Watson Health)
Kelly Peterson (Massachusetts Institute of Technology)
Muktabh Mayank Srivastava (ParallelDots, Inc.)
Amy Jin (Stanford University)
Heliodoro Tejeda Lemus (Stanford University)
Priyadip Ray (Lawrence Livermore National Laboratory)
Tamas Madl (University of Manchester)
Joseph Futoma (Harvard University)
Enhao Gong (Stanford University, Subtle Medical)
PhD Candidate in EE at Stanford. Founder of Subtle Medical and Polarr. Focus on Deep Learning based image processing and medical imaging technologies.
Syed Rameel Ahmad (MTBC)
Eric Lei (Carnegie Mellon University)
Ferdinand Legros (Stanford University)
2017 - Present: Research Assistant in the Stanford Vision Lab. Submitted to CVPR 2018, Visual attention models, Professor Silvio Savarese. 2016 - Present: Research Assistant in Mobilize Center. Submitted to NIPS Symposium on Interpretable Machine Learning 2018, Bayesian Networks for Healthcare. Professor Scott L. Delp. 2016 - Present: Graduate Student at Stanford, Computer Science track of MS&E. 2013-2016: MEng in CS and Applied Mathematics, Ecole Polytechnique, France
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2019 : Poster Session I »
Shuangjia Zheng · Arnav Kapur · Umar Asif · Eyal Rozenberg · Cyprien Gilet · Oleksii Sidorov · Yogesh Kumar · Tom Van Steenkiste · William Boag · David Ouyang · Paul Jaeger · Sheng Liu · Aparna Balagopalan · Deepta Rajan · Marta Skreta · Nikhil Pattisapu · Jann Goschenhofer · Viraj Prabhu · Di Jin · Laura-Jayne Gardiner · Irene Li · sriram kumar · Qiyuan Hu · Mehul Motani · Justin Lovelace · Usman Roshan · Lucy Lu Wang · Ilya Valmianski · Hyeonwoo Lee · Sunil Mallya · Elias Chaibub Neto · Jonas Kemp · Marie Charpignon · Amber Nigam · Wei-Hung Weng · Sabri Boughorbel · Alexis Bellot · Lovedeep Gondara · Haoran Zhang · Taha Bahadori · John Zech · Rulin Shao · Edward Choi · Laleh Seyyed-Kalantari · Emily Aiken · Ioana Bica · Yiqiu Shen · Kieran Chin-Cheong · Subhrajit Roy · Ioana Baldini · So Yeon Min · Dirk Deschrijver · Pekka Marttinen · Damian Pascual Ortiz · Supriya Nagesh · Niklas Rindtorff · Andriy Mulyar · Katharina Hoebel · Martha Shaka · Pierre Machart · Leon Gatys · Nathan Ng · Matthias Hüser · Devin Taylor · Dennis Barbour · Natalia Martinez · Clara McCreery · Benjamin Eyre · Vivek Natarajan · Ren Yi · Ruibin Ma · Chirag Nagpal · Nan Du · Chufan Gao · Anup Tuladhar · Sam Shleifer · Jason Ren · Pouria Mashouri · Ming Yang Lu · Farideh Bagherzadeh-Khiabani · Olivia Choudhury · Maithra Raghu · Scott Fleming · Mika Jain · GUO YANG · Alena Harley · Stephen Pfohl · Elisabeth Rumetshofer · Alex Fedorov · Saloni Dash · Jacob Pfau · Sabina Tomkins · Colin Targonski · Michael Brudno · Xinyu Li · Yiyang Yu · Nisarg Patel -
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Sebastian Farquhar · Erik Daxberger · Andreas Look · Matt Benatan · Ruiyi Zhang · Marton Havasi · Fredrik Gustafsson · James A Brofos · Nabeel Seedat · Micha Livne · Ivan Ustyuzhaninov · Adam Cobb · Felix D McGregor · Patrick McClure · Tim R. Davidson · Gaurush Hiranandani · Sanjeev Arora · Masha Itkina · Didrik Nielsen · William Harvey · Matias Valdenegro-Toro · Stefano Peluchetti · Riccardo Moriconi · Tianyu Cui · Vaclav Smidl · Taylan Cemgil · Jack Fitzsimons · He Zhao · · mariana vargas vieyra · Apratim Bhattacharyya · Rahul Sharma · Geoffroy Dubourg-Felonneau · Jonathan Warrell · Slava Voloshynovskiy · Mihaela Rosca · Jiaming Song · Andrew Ross · Homa Fashandi · Ruiqi Gao · Hooshmand Shokri Razaghi · Joshua Chang · Zhenzhong Xiao · Vanessa Boehm · Giorgio Giannone · Ranganath Krishnan · Joe Davison · Arsenii Ashukha · Jeremiah Liu · Sicong (Sheldon) Huang · Evgenii Nikishin · Sunho Park · Nilesh Ahuja · Mahesh Subedar · · Artyom Gadetsky · Jhosimar Arias Figueroa · Tim G. J. Rudner · Waseem Aslam · Adrián Csiszárik · John Moberg · Ali Hebbal · Kathrin Grosse · Pekka Marttinen · Bang An · Hlynur Jónsson · Samuel Kessler · Abhishek Kumar · Mikhail Figurnov · Omesh Tickoo · Steindor Saemundsson · Ari Heljakka · Dániel Varga · Niklas Heim · Simone Rossi · Max Laves · Waseem Gharbieh · Nicholas Roberts · Luis Armando Pérez Rey · Matthew Willetts · Prithvijit Chakrabarty · Sumedh Ghaisas · Carl Shneider · Wray Buntine · Kamil Adamczewski · Xavier Gitiaux · Suwen Lin · Hao Fu · Gunnar Rätsch · Aidan Gomez · Erik Bodin · Dinh Phung · Lennart Svensson · Juliano Tusi Amaral Laganá Pinto · Milad Alizadeh · Jianzhun Du · Kevin Murphy · Beatrix Benkő · Shashaank Vattikuti · Jonathan Gordon · Christopher Kanan · Sontje Ihler · Darin Graham · Michael Teng · Louis Kirsch · Tomas Pevny · Taras Holotyak -
2019 Workshop: Machine Learning for Health (ML4H): What makes machine learning in medicine different? »
Andrew Beam · Tristan Naumann · Brett Beaulieu-Jones · Irene Y Chen · Madalina Fiterau · Samuel Finlayson · Emily Alsentzer · Adrian Dalca · Matthew McDermott -
2019 Poster: Park: An Open Platform for Learning-Augmented Computer Systems »
Hongzi Mao · Parimarjan Negi · Akshay Narayan · Hanrui Wang · Jiacheng Yang · Haonan Wang · Ryan Marcus · Ravichandra Addanki · Mehrdad Khani Shirkoohi · Songtao He · Vikram Nathan · Frank Cangialosi · Shaileshh Venkatakrishnan · Wei-Hung Weng · Song Han · Tim Kraska · Dr.Mohammad Alizadeh -
2019 Poster: Neuropathic Pain Diagnosis Simulator for Causal Discovery Algorithm Evaluation »
Ruibo Tu · Kun Zhang · Bo Bertilson · Hedvig Kjellstrom · Cheng Zhang -
2019 Poster: Missing Not at Random in Matrix Completion: The Effectiveness of Estimating Missingness Probabilities Under a Low Nuclear Norm Assumption »
Wei Ma · George H Chen -
2018 : Lunch »
Hong Yu · Bhanu Pratap Singh Rawat · Arijit Ukil · Waheeda Saib · Jekaterina Novikova · John Hughes · Yuhui Zhang · Rahul V · Mi Jung Kim · Babak Taati · Hariharan Ravishankar · Harry Clifford · Hirofumi Kobayashi · Babak Taati · Keyang Xu · Yen-Chi Cheng · Timothy Cannings · Jayashree Kalpathy-Cramer · Jayashree Kalpathy-Cramer · Parinaz Sobhani · Kimis Perros · Wei-Hung Weng · Yordan Raykov · Lars Lorch · Mengqi Jin · Xue Teng · Michael Ferlaino · Marek Rei · Cédric Beaulac · Aman Verma · Sebastian Keller · Edmond Cunningham · Luc Evers · Victor Rodriguez · Vipul Satone · Dianbo Liu · Angeline Yasodhara · Geoff Tison · Ligin Solamen · Bryan He · Rahul Ladhania · Yipeng Shi · Md Nafiz Hamid · Pouria Mashouri · Woochan Hwang · Sejin Park · Xu Chen · Rachneet Kaur · Davis Blalock · Holly Wiberg · Parminder Bhatia · Kezi Yu · RUMENG LI · Jun Sakuma · Charles Ding · Aaron Babier · Yong Cai · A Pratap · Luke O'Connor · Allen Nie · Martin Kang · Ian Covert · Xun Wang · Zelun Luo · Serena Yeung · William Boag · Kazuki Tachikawa · Mary Saltz · Owen Lahav · Edward Lee · Eric Teasley · Michael Kamp · Nirmesh Patel · Vishwali Mhasawade · Maxim Samarin · Ryo Uchimido · Farzad Khalvati · Francisco Cruz · Laura Symul · Zaid Nabulsi · Mads Mihailescu · Rosalind Picard -
2018 : Poster Session I »
Aniruddh Raghu · Daniel Jarrett · Kathleen Lewis · Elias Chaibub Neto · Nicholas Mastronarde · Shazia Akbar · Chun-Hung Chao · Henghui Zhu · Seth Stafford · Luna Zhang · Jen-Tang Lu · Changhee Lee · Adityanarayanan Radhakrishnan · Fabian Falck · Liyue Shen · Daniel Neil · Yusuf Roohani · Aparna Balagopalan · Brett Marinelli · Hagai Rossman · Sven Giesselbach · Jose Javier Gonzalez Ortiz · Edward De Brouwer · Byung-Hoon Kim · Rafid Mahmood · Tzu Ming Hsu · Antonio Ribeiro · Rumi Chunara · Agni Orfanoudaki · Kristen Severson · Mingjie Mai · Sonali Parbhoo · Albert Haque · Viraj Prabhu · Di Jin · Alena Harley · Geoffroy Dubourg-Felonneau · Xiaodan Hu · Maithra Raghu · Jonathan Warrell · Nelson Johansen · Wenyuan Li · Marko Järvenpää · Satya Narayan Shukla · Sarah Tan · Vincent Fortuin · Beau Norgeot · Yi-Te Hsu · Joel H Saltz · Veronica Tozzo · Andrew Miller · Guillaume Ausset · Azin Asgarian · Francesco Paolo Casale · Antoine Neuraz · Bhanu Pratap Singh Rawat · Turgay Ayer · Xinyu Li · Mehul Motani · Nathaniel Braman · Laetitia M Shao · Adrian Dalca · Hyunkwang Lee · Emma Pierson · Sandesh Ghimire · Yuji Kawai · Owen Lahav · Anna Goldenberg · Denny Wu · Pavitra Krishnaswamy · Colin Pawlowski · Arijit Ukil · Yuhui Zhang -
2018 : Finale Doshi-Velez »
Finale Doshi-Velez -
2018 Workshop: Machine Learning for Health (ML4H): Moving beyond supervised learning in healthcare »
Andrew Beam · Tristan Naumann · Marzyeh Ghassemi · Matthew McDermott · Madalina Fiterau · Irene Y Chen · Brett Beaulieu-Jones · Michael Hughes · Farah Shamout · Corey Chivers · Jaz Kandola · Alexandre Yahi · Samuel Finlayson · Bruno Jedynak · Peter Schulam · Natalia Antropova · Jason Fries · Adrian Dalca · Irene Chen -
2018 : Panel on research process »
Zachary Lipton · Charles Sutton · Finale Doshi-Velez · Hanna Wallach · Suchi Saria · Rich Caruana · Thomas Rainforth -
2018 : Invited Talk 4 »
Joseph Futoma -
2018 : Finale Doshi-Velez »
Finale Doshi-Velez -
2018 Workshop: All of Bayesian Nonparametrics (Especially the Useful Bits) »
Diana Cai · Trevor Campbell · Michael Hughes · Tamara Broderick · Nick Foti · Sinead Williamson -
2018 Poster: Human-in-the-Loop Interpretability Prior »
Isaac Lage · Andrew Ross · Samuel J Gershman · Been Kim · Finale Doshi-Velez -
2018 Spotlight: Human-in-the-Loop Interpretability Prior »
Isaac Lage · Andrew Ross · Samuel J Gershman · Been Kim · Finale Doshi-Velez -
2018 Poster: Representation Balancing MDPs for Off-policy Policy Evaluation »
Yao Liu · Omer Gottesman · Aniruddh Raghu · Matthieu Komorowski · Aldo Faisal · Finale Doshi-Velez · Emma Brunskill -
2018 Poster: A Probabilistic U-Net for Segmentation of Ambiguous Images »
Simon Kohl · Bernardino Romera-Paredes · Clemens Meyer · Jeffrey De Fauw · Joseph R. Ledsam · Klaus Maier-Hein · S. M. Ali Eslami · Danilo Jimenez Rezende · Olaf Ronneberger -
2018 Spotlight: A Probabilistic U-Net for Segmentation of Ambiguous Images »
Simon Kohl · Bernardino Romera-Paredes · Clemens Meyer · Jeffrey De Fauw · Joseph R. Ledsam · Klaus Maier-Hein · S. M. Ali Eslami · Danilo Jimenez Rezende · Olaf Ronneberger -
2018 Poster: Neural Interaction Transparency (NIT): Disentangling Learned Interactions for Improved Interpretability »
Michael Tsang · Hanpeng Liu · Sanjay Purushotham · Pavankumar Murali · Yan Liu -
2018 Poster: Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces »
Yu-An Chung · Wei-Hung Weng · Schrasing Tong · Jim Glass -
2018 Spotlight: Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces »
Yu-An Chung · Wei-Hung Weng · Schrasing Tong · Jim Glass -
2017 : Panel Session »
Neil Lawrence · Finale Doshi-Velez · Zoubin Ghahramani · Yann LeCun · Max Welling · Yee Whye Teh · Ole Winther -
2017 : Poster session - Afternoon »
Yongchan Kwon · Young-geun Kim · Ender Konukoglu · Peter Li · John Guibas · Tejpal Virdi · Kuldeep Kumar · Morteza Mardani · Jelmer Wolterink · Enhao Gong · Natalia Antropova · Johannes Stelzer · Rene Bidart · Wei-Hung Weng · Martin Rajchl · Marc Górriz · Vineeta Singh · Christopher Sandino · Hiba Chougrad · Bob Hu · Isaac Godfried · Ke Xiao · Heliodoro Tejeda Lemus · Jordan Harrod · ILSANG WOO · Vincent Chen · Joseph Cheng · Vikash Gupta · Chuck-Hou Yee · Ben Glocker · Hervé Lombaert · Maximilian Ilse · Aneta Lisowska · Andrew Doyle · Milad Makkie -
2017 : Posters 1 »
J.P. Lewis · Housam Khalifa Bashier Babiker · Zhongang Qi · Laura Rieger · Ning Xie · Filip Dabek · Koushik Nagasubramanian · Bolei Zhou · Dieuwke Hupkes · CHUN-HAO CHANG · Pamela K Douglas · Enea Ceolini · Derek Doran · Yan Liu · Fuxin Li · Randolph Goebel -
2017 : Poster session - Morning »
Yongchan Kwon · Young-geun Kim · Ender Konukoglu · Peter Li · John Guibas · Tejpal Virdi · Kuldeep Kumar · Morteza Mardani · Jelmer Wolterink · Enhao Gong · Natalia Antropova · Johannes Stelzer · Rene Bidart · Wei-Hung Weng · Martin Rajchl · Marc Górriz · Vineeta Singh · Christopher Sandino · Hiba Chougrad · Bob Hu · Isaac Godfried · Ke Xiao · Heliodoro Tejeda Lemus · Jordan Harrod · ILSANG WOO · Vincent Chen · Joseph Cheng · Vikash Gupta · Chuck-Hou Yee · Ben Glocker · Hervé Lombaert · Maximilian Ilse · Aneta Lisowska · Andrew Doyle · Milad Makkie -
2017 : Finale Doshi-Velez »
Finale Doshi-Velez -
2017 : Automatic Model Selection in BNNs with Horseshoe Priors »
Finale Doshi-Velez -
2017 : Contributed talk: Taylor Residual Estimators via Automatic Differentiation »
Andrew Miller -
2017 : Coffee break and Poster Session II »
Mohamed Kane · Albert Haque · Vagelis Papalexakis · John Guibas · Peter Li · Carlos Arias · Eric Nalisnick · Padhraic Smyth · Frank Rudzicz · Xia Zhu · Theodore Willke · Noemie Elhadad · Hans Raffauf · Harini Suresh · Paroma Varma · Yisong Yue · Ognjen (Oggi) Rudovic · Luca Foschini · Syed Rameel Ahmad · Hasham ul Haq · Valerio Maggio · Giuseppe Jurman · Sonali Parbhoo · Pouya Bashivan · Jyoti Islam · Mirco Musolesi · Chris Wu · Alexander Ratner · Jared Dunnmon · Cristóbal Esteban · Aram Galstyan · Greg Ver Steeg · Hrant Khachatrian · Marc Górriz · Mihaela van der Schaar · Anton Nemchenko · Manasi Patwardhan · Tanay Tandon -
2017 : Poster Session »
Shunsuke Horii · Heejin Jeong · Tobias Schwedes · Qing He · Ben Calderhead · Ertunc Erdil · Jaan Altosaar · Patrick Muchmore · Rajiv Khanna · Ian Gemp · Pengfei Zhang · Yuan Zhou · Chris Cremer · Maria DeYoreo · Alexander Terenin · Brendan McVeigh · Rachit Singh · Yaodong Yang · Erik Bodin · Trefor Evans · Henry Chai · Shandian Zhe · Jeffrey Ling · Vincent ADAM · Lars Maaløe · Andrew Miller · Ari Pakman · Josip Djolonga · Hong Ge -
2017 : Poster session »
Abbas Zaidi · Christoph Kurz · David Heckerman · YiJyun Lin · Stefan Riezler · Ilya Shpitser · Songbai Yan · Olivier Goudet · Yash Deshpande · Judea Pearl · Jovana Mitrovic · Brian Vegetabile · Tae Hwy Lee · Karen Sachs · Karthika Mohan · Reagan Rose · Julius Ramakers · Negar Hassanpour · Pierre Baldi · Razieh Nabi · Noah Hammarlund · Eli Sherman · Carolin Lawrence · Fattaneh Jabbari · Vira Semenova · Maria Dimakopoulou · Pratik Gajane · Russell Greiner · Ilias Zadik · Alexander Blocker · Hao Xu · Tal EL HAY · Tony Jebara · Benoit Rostykus -
2017 : Poster spotlights »
Hiroshi Kuwajima · Masayuki Tanaka · Qingkai Liang · Matthieu Komorowski · Fanyu Que · Thalita F Drumond · Aniruddh Raghu · Leo Anthony Celi · Christina Göpfert · Andrew Ross · Sarah Tan · Rich Caruana · Yin Lou · Devinder Kumar · Graham Taylor · Forough Poursabzi-Sangdeh · Jennifer Wortman Vaughan · Hanna Wallach -
2017 : Contributed talk: Beyond Sparsity: Tree-based Regularization of Deep Models for Interpretability »
Mike Wu · Sonali Parbhoo · Finale Doshi-Velez -
2017 : Graph based Feature Selection for Structured High Dimensional Data (poster). »
Yanqing Zhang -
2017 : Invited talk: The Role of Explanation in Holding AIs Accountable »
Finale Doshi-Velez -
2017 : A millennium of nearest neighbor methods – an introduction to the NIPS nearest neighbor workshop 2017 »
George H Chen -
2017 Workshop: Nearest Neighbors for Modern Applications with Massive Data: An Age-old Solution with New Challenges »
George H Chen · Devavrat Shah · Christina Lee -
2017 Workshop: Machine Learning for Health (ML4H) - What Parts of Healthcare are Ripe for Disruption by Machine Learning Right Now? »
Jason Fries · Alex Wiltschko · Andrew Beam · Isaac S Kohane · Jasper Snoek · Peter Schulam · Madalina Fiterau · David Kale · Rajesh Ranganath · Bruno Jedynak · Michael Hughes · Tristan Naumann · Natalia Antropova · Adrian Dalca · SHUBHI ASTHANA · Prateek Tandon · Jaz Kandola · Uri Shalit · Marzyeh Ghassemi · Tim Althoff · Alexander Ratner · Jumana Dakka -
2017 Poster: DPSCREEN: Dynamic Personalized Screening »
Kartik Ahuja · William Zame · Mihaela van der Schaar -
2017 Poster: Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes »
Taylor Killian · Samuel Daulton · Finale Doshi-Velez · George Konidaris -
2017 Oral: Robust and Efficient Transfer Learning with Hidden Parameter Markov Decision Processes »
Taylor Killian · Samuel Daulton · Finale Doshi-Velez · George Konidaris -
2017 Poster: Reducing Reparameterization Gradient Variance »
Andrew Miller · Nick Foti · Alexander D'Amour · Ryan Adams -
2017 Poster: Inferring Generative Model Structure with Static Analysis »
Paroma Varma · Bryan He · Payal Bajaj · Nishith Khandwala · Imon Banerjee · Daniel Rubin · Christopher Ré -
2016 : BNNs for RL: A Success Story and Open Questions »
Finale Doshi-Velez -
2016 Workshop: Machine Learning for Health »
Uri Shalit · Marzyeh Ghassemi · Jason Fries · Rajesh Ranganath · Theofanis Karaletsos · David Kale · Peter Schulam · Madalina Fiterau -
2016 Workshop: Practical Bayesian Nonparametrics »
Nick Foti · Tamara Broderick · Trevor Campbell · Michael Hughes · Jeffrey Miller · Aaron Schein · Sinead Williamson · Yanxun Xu -
2016 Poster: SPALS: Fast Alternating Least Squares via Implicit Leverage Scores Sampling »
Dehua Cheng · Richard Peng · Yan Liu · Kimis Perros -
2016 Poster: Learning HMMs with Nonparametric Emissions via Spectral Decompositions of Continuous Matrices »
Kirthevasan Kandasamy · Maruan Al-Shedivat · Eric Xing -
2015 Workshop: Machine Learning From and For Adaptive User Technologies: From Active Learning & Experimentation to Optimization & Personalization »
Joseph Jay Williams · Yasin Abbasi Yadkori · Finale Doshi-Velez -
2015 : Data Driven Phenotyping for Diseases »
Finale Doshi-Velez -
2015 Poster: Mind the Gap: A Generative Approach to Interpretable Feature Selection and Extraction »
Been Kim · Julie A Shah · Finale Doshi-Velez -
2015 Poster: A Gaussian Process Model of Quasar Spectral Energy Distributions »
Andrew Miller · Albert Wu · Jeffrey Regier · Jon McAuliffe · Dustin Lang · Mr. Prabhat · David Schlegel · Ryan Adams -
2015 Poster: Scalable Adaptation of State Complexity for Nonparametric Hidden Markov Models »
Michael Hughes · William Stephenson · Erik Sudderth -
2014 Workshop: 3rd NIPS Workshop on Probabilistic Programming »
Daniel Roy · Josh Tenenbaum · Thomas Dietterich · Stuart J Russell · YI WU · Ulrik R Beierholm · Alp Kucukelbir · Zenna Tavares · Yura Perov · Daniel Lee · Brian Ruttenberg · Sameer Singh · Michael Hughes · Marco Gaboardi · Alexey Radul · Vikash Mansinghka · Frank Wood · Sebastian Riedel · Prakash Panangaden -
2014 Poster: A Latent Source Model for Online Collaborative Filtering »
Guy Bresler · George H Chen · Devavrat Shah -
2014 Spotlight: A Latent Source Model for Online Collaborative Filtering »
Guy Bresler · George H Chen · Devavrat Shah -
2013 Poster: A Latent Source Model for Nonparametric Time Series Classification »
George H Chen · Stanislav Nikolov · Devavrat Shah -
2013 Poster: Memoized Online Variational Inference for Dirichlet Process Mixture Models »
Michael Hughes · Erik Sudderth -
2012 Poster: Effective Split-Merge Monte Carlo Methods for Nonparametric Models of Sequential Data »
Michael Hughes · Emily Fox · Erik Sudderth