PhD - University of Tokyo
Bio | Publication List | CV
Research Interests: Machine learning, speech recognition and understanding, speaker recognition, speech synthesis, and multimodal human-computer interaction.
PhD - MIT
Research Interests: Theoretical Computer Science and Machine Learning, including Machine Learning Theory, Approximation Algorithms, Algorithmic Game Theory, and Database Privacy, as well as connections among them.
PhD - MIT
Research Interests: Fine-grained complexity, high-dimensional computational geometry and metric embeddings
PhD - Technion - Israel Institute of Technology
Research Interests: Theoretical computer science, with the main emphasis on the design and the analysis of approximation algorithms and proving hardness of approximation bounds for NP-hard problems, especially those with strong connections to graph theory.
PhD - University of Maryland, College Park
Research Interests: Natural language processing and computational psycholinguistics, with focus on processing and representation of meaning.
PhD - Carnegie Mellon University
Research Interests: natural language processing, especially paraphrase recognition, machine comprehension, knowledge representation, and narrative understanding.
PhD - The University of Texas at Austin
Research Interests: Machine learning in high dimensional settings, ranking, constrained optimization, healthcare analytics.
PhD - Duke University
Research Interests: Computational protein and drug design, computational structural biology, machine learning, combinatorial optimization.
PhD - CMU
Research Interests: Statistical learning theory, active and interactive learning
PhD - MIT
Research Interests: Speech and language processing, and related problems in machine learning
PhD - MIT
Research Interests: Sublinear algorithms for massive data. High Dimensional Computational Geometry, Proximity Search, Streaming Algorithms, Graph Algorithms
PhD - Princeton University
Research Interests: Theoretical computer science including combinatorial optimization, approximation algorithms, semi-definite programming, unique games, low-distortion metric embeddings, and lift-and-project methods.
PhD - MIT
Research Interests: Machine learning theory, the theory of programming languages, automated reasoning, AI planning, computer game playing (computer chess), computational linguistics and computer vision.
PhD - MIT
Research Interests: Machine learning, statistics, and information theory, with focus on data scarcity. Forecasting and compression under rare events and using such methods to regularize learning tasks. Applications to modeling natural language, climate extremes, and rare societal events. Statistical and computational tradeoffs using coresets and sketching.
Professor, University of Chicago
PhD - Steklov Mathematical Institute
Research Interests: Complexity theory, and he is specifically interested in circuit complexity, proof complexity, quantum computations and communication complexity.
PhD - KTH Royal Institute of Technology
Research Interests: Dynamic data structures on graphs, Graph algorithms in near-linear and sub-linear time, Self-adjusting data structures.
PhD - MIT
Research Interests: Computational vision and machine learning. His current research is focused on automatic understanding of visual scenes, including recovery of three-dimensional structure and detection and categorization of objects. He is also generally interested in similarity-based, supervised and semi-supervised statistical learning methods.
PhD - MIT
Research Interests: Statistical and computational aspects of machine learning, and the interaction between them: statistical learning theory, probabilistic modeling, optimization. Applications in computational biology, text analysis and collaborative filtering.
PhD - Columbia University
Research Interests: Unsupervised and semi-supervised algorithms: their analysis and applications to computational linguistics. Interpretable representation learning.
PhD - University of California, Berkeley
Research Interests: Complexity Theory, Approximation Algorithms and Hardness of Approximation, Convex Optimization, Pseudorandomness, Arithmetic Combinatorics
PhD - MIT
Research Interests: Robotics, computer vision, natural language understanding, machine learning, and state estimation. His research focuses on probabilistic methods that enable robots to understand and operate within unstructured environments through multimodal perception and interaction, both with humans and their surroundings.
PhD - Harvard University
Research Interests: Natural language processing and machine learning, especially deep structured prediction and text generation.
PhD - University of California, San Diego
Research Interests: Computational biology, with a focus on interpretable machine learning methods based on biological networks and ontologies. Applications to cancer-microbiome interactions and clinical datasets.
Associate Professor, University of Notre Dame
PhD - University of Pennsylvania
Research Interests: Natural language processing, language translation, syntactic parsing, and formal language theory.
Professor, University of Illinois at Urbana-Champaign
PhD - Balliol College, Oxford
Research Interests: Artificial Intelligence, Computer vision, Computer graphics, Machine learning.
Professor, University of Pennsylvania
PhD - Stanford University
Research Interests: Approximation algorithms, combinatorial optimization, and sublinear algorithms
Professor, Yale
PhD - Princeton University
Research Interests: Machine learning, nonparametric estimation, probabilistic modeling, graphical models, text modeling.
Senior Research Scholar, TTI-Japan
PhD - Kyoto University
Research Interests: Digital signal processing for recording and communication channels and machine learning applications for vehicle environment recognition.
Professor, University of Wisconsin-Madison
PhD - University of Wisconsin-Madison
Research Interests: Signal processing, machine learning, optimization, and statistics.
Professor, TTI-Japan
PhD - University of Tsukuba
Research Interests: Machine learning and its application to Natural Language Processing and biomedical informatics. Recent research interests include Order-Sorted Inductive Logic Programming and massively-parallel machine learning and their application to biomedical Text Mining.
Professor, University of Wisconsin-Madison
PhD - University of Queensland
Research Interests: Numerical Optimization
George and Elizabeth Yovovich Professor, Departments of Computer Science and Mathematics, University of Chicago
PhD - Hungarian Acad. Sci., Budapest
Research Interests: Complexity theory, algorithms, combinatorics, asymptotic group theory, and the many interactions among these fields, including problems of “pure mathematics” motivated by questions in the theory of computing.
Liew Family Chair of Computer Science, University of Chicago
PhD - University of Wisconsin
Research Interests: Databases, Systems, Big Data
Associate Professor of Econometrics and Statistics, Booth School of Business, University of Chicago
PhD - Carnegie Mellon University
Research Interests: High-dimensional statistical methods, graphical models, varying-coefficient models and data mining, driven by the need to uncover interesting and scientifically meaningful structures from observational data.
Assistant Professor, Departments of Computer Science and Statistics, University of Chicago
PhD - Columbia University
Research Interests: Machine learning and computational harmonic analysis
Assistant Professor, Department of Computer Science, University of Chicago
PhD - University of California, Berkeley
Research Interests: Computer vision and machine learning. His research is centered around the development of algorithms for understanding visual scenes, with emphasis on the problems of object detection and segmentation.
Professor and Director of Graduate Studies, Department of Computer Science, University of Chicago
PhD - Cornell University
Research Interests: Computational complexity, including machine-based complexity, communication complexity, models of parallel computation, distributed computation, algorithms, as well as problems inspired by the world wide web
Professor, Departments of Statistics and Computer Science, University of Chicago
PhD - Rice University
Research Interests: Signal processing, machine learning, and large-scale data science