Photo of Maruan Al-Shedivat

Maruan Al-Shedivat

King Abdullah University for Science and Technology
MS in Computer Science

Advisor: Eric Xing

Research Interests: Statistical Learning Theory, Learning Representations, Semi-Supervised and Transfer Learning

Photo of Siddharth Ancha

Siddharth Ancha

University of Toronto
MS in Computer Science

Advisor: David Held

Research Interests: MCMC Inference, Deep Learning, Computer Vision

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Ifigeneia Apostolopoulou

University of Thessaly at Volos
BS in Electrical & Computer Engineering

Advisor: Artur Dubrawski

Research Interests: Pattern Mining, Statistical Machine Learning

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Shaojie Bai

Carnegie Mellon University
BS in Computer Science

Advisor: Zico Kolter

Research Interests: Deep Learning, Sequence Modeling, Optimizations

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Arundhati Banerjee

Indian Institute of Technology, Kharagpur
BTech & MTech in Computer Science and Engineering

Advisor:

Research Interests: Theoretical Machine Learning, Deep Learning, Decision Theory and Planning

 

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Jonathon Byrd

Morehead State University
BS in Computer Science

Advisor: Zack Lipton

Research Interests:ML on graph and molecule data, transfer learning and metalearning, reinforcement learning, search and optimization.

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Sebastian Caldas

Universidad de los Andes
BS in Systems & Computing Engineering

Advisor: Ameet Talwalkar

Research Interests: Computer Vision

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Cristian Challu

Instituto Tecnologico Autonomo de Mexico
MS in Data Science

Advisor:

Research Interests: Optimization, Statistical Machine Learning, Reinforcement Learning

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Dallas Card

Dalhousie University, MA in International Development Studies
University of Waterloo, BA.Sc. in Systems Design Engineering

Advisor: Noah Smith

Research Interests: Machine Learning in Social and Biological Systems, Event and Pattern Detection, Algorithmic Game Theory, and Computational Creativity

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Devendra Chaplot

Indian Institute of Technology, Bombay
BTech in Computer Science and Engineering

Advisor: Ruslan Salakhutdinov

Research Interests: Deep Reinforcement Learning, NLP, Robotics, AI

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Ian Char

University of Colorado Boulder
BS in Computer Science & BS/MS in Applied Math

Advisor: Jeff Schneider

Research Interests: AI, Graphical Probabilistic Models, Statistical Machine Learning, and Reinforcement Learning

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Jeremiah Cohen

Princeton University
B.S.E in Computer Science

Advisor: Zico Kolter

Research Interests: Machine Learning and Optimization

Photo of Amanda Coston

Amanda Coston

Princeton University
BSE in Computer Science

Advisor: Roni Rosenfeld

Research Interests: Machine Learning (applied to areas of social impact including healthcare, human rights, and criminal justice)

Machine Learning & Public Policy Joint PhD Degree

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Christoph Dann

Technische Universitaet Darmstadt
MS in Computer Science

Advisor: Emma Brunskill

Research Interests: Sequential Decision Making Under Uncertainty, AI, Computer Vision, Statistical Machine Learning, Optimization

Photo of Maria De Arteaga

Maria De-Arteaga

Universidad Nacional de Colombia
BS in Mathematics

Advisor: Artur Dubrawski

Research Interests: Machine Learning, Natural Language Processing and Data Mining (applied to corruption and fraud detection, criminology and violence research)

Machine Learning & Public Policy Joint PhD Degree

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Kumar Avinava Dubey

Indian Institute of Technology (IIT), Bombay, Mumbai India
MS in Technology, Computer Science & Engineering

Advisor: Eric Xing

Research Interests: Non-Parametric and Semi-Supervised Learning in Probabilistic Graphical Models

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Collin Eubanks

Carnegie Mellon University, MS in Machine Learning
University of Kansas, BS in Mathematics

Advisors: Larry Wasserman, Rupert Croft, Jessi Cisewski

Research Interests: Data Mining, Spatio-Temporal Modeling, Statistical Machine Learning, High-Dimensional Statistics, Applications to Cosmology

Statistics & Machine Learning Joint PhD Degree

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Ben Eysenbach

Massachusetts Institute of Technology
BS in Mathematics

Advisor: Ruslan Salakhutdinov

Research Interests: Reinforcement Learning

Photo of Zhili Feng

Zhili Feng

University of Wisconsin
MS in Computer Science

Advisor:

Research Interests: Machine Learning Theory

Photo of Dylan Fitzpatrick

Dylan Fitzpatrick

Carnegie Mellon University
MS in Computer Science

Advisor: Daniel Neill

Research Interests: Forecasting and Prediction in Spatiotemporal Data for Urban Analytics, Natural Resource Management, and Conservation Ecology

Machine Learning & Public Policy Joint PhD Degree

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Saurabh Garg

Indian Institute of Technology, Bombay
BTech in Computer Science & Engineering

Advisor:

Research Interests: Machine Learning

 

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Théophile Gervet

McGill University
BS in Computer Science

Advisor: Jeff Schneider

Research Interests: Deep Learning, Reinforcement Learning, Probabilistic Graphical Models

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Chirag Gupta

Indian Institute of Technology, Kanpur
B.Tech, Computer Science and Engineering

Advisor: Aaditya Ramdas & Siva Balakrishnan

Research Interests: Optimization, Statistics aspects of Learning, Causal Inference

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Kartik Gupta

Indian Institute of Technology (IIT), Madras
BTech in Computer Science & Engineering

Advisor: Pradeep Ravikumar

Research Interests: Statistical Machine Learning and Optimization

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William Guss

University of California, Berkeley
BA in Pure Mathematics

Advisor: Ruslan Salakhutdinov

Research Interests: Deep Learning Theory, Deep Reinforcement Learning, Automated Machine Learning, Applied Algebraic Topology, and Functional Analysis

Photo of Kin Gutierrez Olivares

Kin Gutierrez Olivares

Instituto Tecnologico Autonomo de Mexico
BS in Applied Mathematics

Advisor: Artur Dubrawski

Research Interests: Optimization and Statistical Learning Theory

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Yotam Hechtlinger

Carnegie Mellon University
MS in Machine Learning
Tel Aviv University
MS in Statistics
Advisors: Larry Wasserman & Alessandro Rinaldo
Research interests: Conformal Prediction, Convolutional Neural Networks, Post-Selection Inference
Statistics & Machine Learning Joint PhD Degree

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Jay Hennig

University of Texas at Austin
BS in Pure Mathematics

Advisors: Byron Yu & Steve Chase

Research Interests: Computational neuroscience, statistical machine learning

Neural Computation & Machine Learning Joint PhD Degree

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William Herlands

Princeton University
BSE in Electrical Engineering

Advisor: Daniel Neill

Research Interests: Predictive modeling, machine-aided medical diagnosis, robotics, swarm systems, cybersecurity

Machine Learning & Public Policy Joint PhD Degree

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Tim Hsieh

Stanford University
MS in Computer Science

Advisor:

Research Interests: Machine Learning, Learning theory, Theoretical Computer Science

Photo of Zhiting Hu

Zhiting Hu

Beijing University
B.S. in Computer Science

Research Interests: Deep learning, Bayesian methods, large-scale machine learning, natural language process, computer vision

Advisor: Eric Xing

Photo of Conor Igoe

Conor Igoe

University College Dublin
B.E. in Electronic Engineering

Advisor: Stephen Smith

Research Interests: Optimization, Algorithmic Game Theory, Bayesian modeling

Photo of Stefani Karp
Stefanie Karp

Princeton University
BSE in Computer Science

Advisor: Aarti Singh

Research Interests:

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Joon Sik Kim

California Institute of Technology
BS in Computer Science

Advisor: Pradeep Ravikumar

Research Interests: Interpretable/explainable machine learning, Human-AI interaction, Deep learning

Photo of Juyong Kim

Juyong Kim

Seoul National University
MS in Computer Science and Engineering
BS in Electrical and Computer Engineering

Advisor: Pradeep Ravikumar

Research Interests: Deep Learning, Computer Vision

Photo of Kwangho Kim

Kwangho Kim

Stanford University, MS in Statistics
KAIST, B.S. in Mathematics & B.S in Electrical Engineering

Advisors: Barnabas Poczos & Edward Kennedy

Research Interests: Causal inference with longitudinal data, Statistical machine learning, Developing novel analytical methods

Statistics & Machine Learning Joint PhD Degree

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Natalie Klein

University of New Mexico
BS in Pure Mathematics

Advisors: Rob Kass & Valerie Ventura

Research Interests: neural networks, synchronization phenomena, clustering, network analysis, and applications of statistics and machine learning to social and biological problems.

Statistics & Machine Learning Joint PhD Degree
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Lisa Lee

Princeton University, A.B. in Mathematics

Advisors: Ruslan Salakhutdinov & Eric Xing

Research Interests: Deep reinforcement learning, meta-learning, intrinsically motivated learning, hierarchical planning

Photo of Eric Lei

Eric Lei

University of Washington
B.S. in Computer Science

Advisor: Artur Dubrawski

Research Interests: Big data, learning theory, NLP, and game theory.

Photo of Chun-liang Li

Chun-liang Li

National Taiwan University
M.S. in Computer Science

Advisor: Barnabas Poczos

Research Interests: Implicit Generative Model

Photo of Liam Li
Liam Li

Caltech
BA.Sc. in Applied Math

Advisor: Ameet Talwalkar

Research Interests: AutoML, hyperparameter optimization, neural architecture search, deep learning, reinforcement learning

Photo of Oscar Li

Oscar Li

Duke University
BS in Mathematics; BS in Computer Science

Advisor:

Research Interests: Reinforcement Learning, Lifelong Learning, Interpretable Machine Learning, Computer Vision

Photo of Paul Liang

Paul Liang

Carnegie Mellon University
M.S. in Machine Learning, B.S. in Computer Science

Advisors: Louis-Philippe Morency & Ruslan Salakhutdinov

Research Interests: Multimodal Machine Learning, Deep Learning, Reinforcement Learning, Probabilistic Graphical Models

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Chieh Lin

National Taiwan University
MS in Computer Science and Information Engineering

Advisor: Ziv Bar-Joseph

Research Interests: Computational Biology, Bioinformatics, Cheminformatics and Machine Learning

 

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Bingbin Liu

Stanford University
MS in Computer Science

Advisor:

Research Interests: Interpretability, representation learning, data efficiency

Photo of Leqi Liu

Leqi Liu

Bryn Mawr College
BA in Computer Science

Advisor: Pradeep Ravikumar

Research Interests: Artificial Intelligence; Statistical Machine Learning; Reinforcement Learning; Fairness, Accountability and Transparency in Machine Learning

Photo of Yusha Liu

Yusha Liu

Carnegie Mellon University
MS in Machine Learning

Advisor:

Research Interests: Bayesian Optimization, Computer Vision

Photo of Darby Losey

Darby Losey

University of Washington
BS in Computer Science, Neurobiology

Advisors: Byron Yu & Steve Chase

Research Interests: Brain-Computer Interfacing, Computational Neuroscience,Dimensionality Reduction, Signal Processing

Neural Computation & Machine Learning Joint PhD Degree

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Micol Marchetti-Bowick

Stanford University
MS & BS in Computer Science

Advisor: Eric Xing

Research Interests: Probabilistic Graphical Models, Computational Biology

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Kenneth Marino

Georgia Institute of Technology
BS in Computer Engineering

Advisor: Abhinav Gupta

Research Interests: Deep Learning, Computer Vision, Unsupervised and Semi-supervised Learning

Photo of Tanya Marwah

Tanya Marwah

Carnegie Mellon University
MS in Robotics

Advisor:

Research Interests: Reinforcement Learning, Machne Learning, Optimization

Picture of Abhinav Maurya

Abhinav Maurya

Indian Institute of Technology Bombay
M.Tech. in Computer Science and Engineering
 
Advisor: Rahul Telang
Research Interests: Machine Learning, Data Science, Computational Social Science, Public Policy

Machine Learning & Public Policy Joint PhD Degree
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Stephanie Milani

University of Maryland, Baltimore County
BS in Computer Science & BA in Psychology

Advisor:

Research Interests: Sequential decision making, Artificial Intelligence, Reinforcement learning

 

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Calvin Murdock

Washington University, St. Louis
BS in Computing

Advisor: Simon Lucey
Research Interests: Computer Vision, Unsupervised Learning, High-dimensional Time Series

Photo of Renato Pereira-Negrinho

Renato Pereira-Negrinho

Instituto Superior Tecnico, Portugal
MS in Electrical and Computer Engineering

Advisor: Geoff Gordon & Matt Gormley

Research Interests: Statistical Machine Learning, Optimization, Natural Language Processing

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Willie Neiswanger

Columbia University
BS in Applied Mathematics

Advisor: Eric Xing

Research Interests: Statistical machine learning, Bayesian methods, sequential decision making, computer vision, computational biology, and analysis of text and network data

Photo of Ojash Neopane

Ojash Neopane

University of California, San Diego
BS in Electrical & Computer Engineering, Mathematics

Advisor: Aaditya Ramdas & Aarti Singh

Research Interests: Sequential Analysis, Reinforcement Learning

Photo of Ritesh Noothigattu

Ritesh Noothigattu

Indian Institute of Technology, New Delhi
B.Tech. in Computer Science and Engineering

Advisor: Ariel Procaccia

Research Interests: Machine Learning, Computational Social Choice, Artificial Intelligence

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Inioluwa Oguntola

MIT
ME & BS in Computer Science

Advisor:

Research Interests: Deep learning, multimodal learning, computer vision, natural language processing

Photo of Motolani Olarinre

Motolani Olarinre

New Jersey Institute of Technology
MS in Computational Biology

Advisor: Robert Kass

Research Interests: Statistical Machine Learning and Reinforcement Learning

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Josue Orellana

Washington State University
B. S. in Electrical Engineering

Advisors: Rob Kass

Research Interests: Graphical network modeling of high-dimensional data, Brain region interactions, Multivariate analysis of phase data

Neural Computation & Machine Learning Joint PhD Degree

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Biswajit Paria

Indian Institute of Technology Kharagpur,
BS & MS in Computer Science and Engineering

Advisors: Barnabas Poczos & Pradeep Ravikumar

Research Interests: Statistical and theoretical machine learning

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Emilio Parisotto

University of Toronto
BS in Computer Science

Advisor: Ruslan Salakhutdinov

Research Interests: Deep Reinforcement Learning, Generative Models, and Multitask and Transfer Learning in the RL setting. In particular, I am currently interested in more sophisticated memory systems for deep reinforcement learning agents that can allow them to operate in rich 3D environments

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Pratik Patil

University of Toronto
MASc in Electrical & Computer Engineering
MS in Statistics

Advisor: Alessandro Rinaldo

Research Interests: Statistical Machine Learning, Information Theory, Optimization

Statistics & Machine Learning Joint PhD Degree

 

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Anthony Platanios

Imperial College London
ME in Electrical & Electronic Engineering

Advisor: Tom Mitchell
Research Interests: Machine Learning and Non-Parametric Statistics

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Gregory Plumb

University of Wisconsin, Madison
BS in Computer Science

Advisor: Ameet Talwalkar

Research Interests: Theoretical Machine Learning, Deep Learning

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Ashwini Pokle

Stanford University
MS in Computer Science

Advisor:

Research Interests: Multi-task learning, Reinforcement learning, Generative Modelling, 2D Vision

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Adarsh Prasad

Indian Institute of Technology, Delhi
B.Tech in Electrical Engineering

Advisor: Pradeep Ravikumar

Research Interests: High Dimensional Statistics, Optimization, Ranking and Quantitative Trading

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Charvi Rastogi

Indian Institute of Technology, Bombay
B.Tech/M.Tech in Electrical Engineering

Advisors: Nihar Shah, Siva Balakrishnan

Research Interests: Statistical Machine Learning, Learning Theory, Learning from People, Crowdsourcing

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Elan Rosenfeld

Carnegie Mellon University
BS in Computer Science, Statistics & Machine Learning

Advisor: Pradeep Ravikumar

Research Interests: Statistical machine learning, computational learning theory, graphical models, neural networks

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Aaron Rumack

Cornell University
BS in Computer Science

Advisor: Roni Rosenfeld

Research Interests: applied machine learning and computational biology

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Abulhair Saparov

Princeton University
B.S.E. in Computer Science

Advisor: Tom Mitchell

Research Interests: Scalable machine learning, AI, algorithms, Bayesian statistical methods, natural language processing.

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Robin Schmucker

Karlsruhe Institute of Technology
B.Sc. in Informatics

Advisor: Tuomas Sandholm

Research Interests: Event Detection, Optimization, Internet of Things

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Shubhranshu Shekhar

Indian Institute of Technology Madras, Chennai
MS in Computer Science and Engineering

Advisor: Leman Akoglu

Research Interests: Data Mining, Anomaly Detection, Medical and Social Science Applications

Machine Learning & Public Policy Joint PhD Degree

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Shashank Singh

Carnegie Mellon University
B.S. & M.S. in Math

Advisor: Barnabas Poczos

Research Interests: Statistical Methods, Information Theory, Topological Data Analysis, Optimization, Neural Data Analysis, Biological Computation

Statistics & Machine Learning Joint PhD Degree

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Hyun Ah Song

Korea Advanced Institute of Science and Technology, M.S. in Electrical Engineering
Ewha Womans University, B.S.E. in Environmental Science & Engineering

Advisor: Christos Faloutsos

Research Interests: Machine learning, neural networks, unsupervised learning

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Neil Spencer

University of British Columbia
MS in Statistics

Advisor: Cosma Shalizi

Research Interests: Bayesian nonparametric statistics, Network modelling, Monte Carlo methods.

Statistics & Machine Learning Joint PhD Program

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Ivan Stelmakh

Moscow Institute of Physics and Technology
BS in Computer Science

Advisors: Nihar Shah & Aarti Singh

Research Interests: Statistical Learning Theory, Learning form People, Theoretical Machine Learning

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Otilia Stretcu

University of Cambridge
M.Ph. in Advanced Computer Science

Advisors: Tom Mitchell & Barnabas Poczos

Research Interests: Machine Learning and Computer Vision, particularly biomedical applications.

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Arun Sai Suggala

Indian Institute of Technology, Bombay,
B.Tech. in Computer Science and Engineering

Advisor: Pradeep Ravikumar

Research Interests: Optimization, High Dimensional Statistics

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Mariya Toneva

Yale University
B.S. in Computer Science, Cognitive Science

Advisor: Tom Mitchell, Leila Wehbe

Research Interests: Computational cognitive science, Natural Language Processing, Modeling Language Processing in Humans

Neural Computation & Machine Learning Joint PhD Degree

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Nicholay Topin

University of Maryland
BS in Computer Science

Advisor: Manuela Veloso

Research Interests: Reinforcement Learning, Deep Learning, Sequential decision making

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Yao-Hung (Hubert) Tsai

National Taiwan University
B.S.E in Electrical Engineering

Advisor: Ruslan Salakhutdinov

Research Interests: Deep Learning, Computer Vision and Natural Language Processing

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Hsiao-Yu Tung

Carnegie Mellon University
MS in Machine Learning

Advisor: Katerina Fragkiadaki & Alex Smola

Research Interests: Spectral Methods, Statistical Modeling & Machine Learning Theory

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Jacob Tyo

West Virginia University
M.S. & B.S. in Electrical Engineering

Advisor: Zachary Lipton

Research Interests: Artificial Intelligence, Reinforcement Learning, Unsupervised Learning, Causal Inferencing, Active Learning

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Akash Umakantha

Vanderbilt University
B.S.E. in Electrical Engineering and Biomedical Engineering

Advisor: Byron Yu & Matthew Smith (University of Pittsburgh)

Research Interests:Latent variable models, dynamical systems, visual neuroscience, computational neuroscience

Neural Computation & Machine Learning Joint PhD Degree

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Aria Yuan Wang

UC Berkeley
BA in Statistics and Cognitive Science

Advisors: Mike Tarr, Leila Wehbe

Research Interests: Computer and Human Vision, Computational neuroscience

Neural Computation & Machine Learning Joint PhD Degree

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Po-Wei Wang

National Taiwan University
BS in Computer Science

Advisor: Zico Kolter

Research Interests: Optimization Algorithms & Convergence Theory for Machine Learning

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Ziyan Wang

Carnegie Mellon University
MS in Computer Vision

Advisor:

Research Interests: Computer Vision, Machine Learning, Computer Graphics

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Ryan Williamson

Brigham Young University
BS in Electrical Engineering

Advisors: Byron Yu & Matthew Smith (Univ. of Pittsburgh, Ophthalmology)

Research Interests: Brain computer interfaces, dimensionality reduction, mechanisms of attention in the primate visual system

Neural Computation & Machine Learning Joint PhD Degree

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Ezra Winston

Carnegie Mellon University
MS in Machine Learning

Advisor: Zico Kolter

Research Interests: Natural language understanding, representation learning

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Eric Wong

Carnegie Mellon University
B.S. in Computer Science

Advisor: Zico Kolter

Research Interests: Optimization algorithms, human-in-the-loop learning, and sustainability domains

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Yifan Wu

University of Alberta, M.S. in Computing Science
Shanghai Jiao Tong University, B.S. in Computer Science

Advisor: Zachary Lipton

Research Interests: Sequential decision making, large scale and complex modelling, learning theory

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Qizhe Xie

Carnegie Mellon University
MS in Language Technologies

Advisor: Ed Hovy

Research Interests: Machine Learning, Natural Language Processing

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Yichong Xu

Tsinghua University
B.Eng. in Computer Science

Advisor: Artur Dubrawski

Research Interests: deep learning, game theory and algorithm design

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Tom Yan

Massachusetts Institute of Technology
BS & MEng in EECS

Advisor: Ariel Procaccia

Research Interests: Principled approaches to Machine Learning & Artificial Intelligence

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Fan Yang

Carnegie Mellon University
B.S. in Mathematical Sciences

Advisor: William Cohen & Tom Mitchell

Research Interests: Learning to search, structure prediction, and probabilistic logic programming
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Chih-Kuan Yeh

National Taiwan University
BS in Electronic Engineering

Advisor: Pradeep Ravikumar

Research Interests: deep learning algorithms and its application in computer vision, artificial intelligence, and natural language processing. I'm also interested in transfer learning, generative model, and deep reinforcement learning

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Emre Yolcu

Carnegie Mellon University
MS in Language Technologies

Advisor:

Research interests: Learning theory, optimization, reinforcement learning

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Han Zhao

University of Waterloo
MM in Computer Science

Advisor: Geoff Gordon & Matt Gormley

Research Interests: Tractable probabilistic inferences in graphical models

Photo of Xun Zheng

Xun Zheng

Carnegie Mellon University, M.S. in Machine Learning
Beihang University, B.E. in Software Engineering

Advisor: Pradeep Ravikumar & Eric Xing

Research Interests: Bayesian inference and optimization

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Chenghui Zhou

McGill University, B.S. in Computer Science

Advisor: Barnabas Poczos

Research Interests: learning from time series data, statistical machine learning, spectral learning

Photo of Helen Zhou

Helen Zhou

Massachusetts Institute of Technology
B.S. and M.Eng. in Computer Science and Electrical Engineering

Advisor: Eric Xing

Research Interests: deep learning, representation learning, bayesian methods, natural language processing, machine learning for healthcare