TTIC is having a weekly seminar series presenting the research currently underway at the Institute. Every week a different TTIC faculty member will present their research.

The lectures are intended both for students seeking research topics and advisers, and for the general TTIC and University of Chicago communities interested in hearing what their colleagues are up to.

To receive announcements about the seminar series, please subscribe to the mailing list.

For additional questions, contact Nati Srebro (nati@ttic.edu)

Title: Generating descriptions for scenes and objects

Date: June 2, 2017

Speaker: Suriya Gunasekar


Title: Algorithms for Stable and Perturbation-Resilient Problems

Date: May 26, 2017

Speaker: Yury Makarychev


Title: Image Colorization and its Role in Visual Learning

Date: May 12, 2017

Speaker: Greg Shakhnarovich


Title: Combining Hard and Soft Structures and Using Them Only When Needed

Date: April 28, 2017

Speaker: Mesrob Ohannessian


Title: New Approximation Algorithms and Hardness Results for Graph Routing Problems

Date: April 21, 2017

Speaker: Julia Chuzhoy


Title: Why Type Theory is Relevant to AI

Date: April 14, 2017

Speaker: David McAllester


Title: Computational algorithms to model protein-drug interactions and 3d structures of proteins

Date: April 7, 2017

Speaker: Hammad Naveed


Title: TBD

Date: March 31, 2017

Speaker: Nathan Srebro


Title: Learning Paraphrastic Representations of Natural Language

Date: March 10, 2017

Speaker: Kevin Gimpel


Title: TBD

Date: March 10, 2017

Speaker: Greg Shakhnarovich


Title: TBD

Date: February 17, 2017

Speaker: Karen Livescu


Title: TBD

Date: February 10, 2017

Speaker: Stefan Canzar


Title: Computational complexity through the lens of circuits, proofs, and randomness

Date: February 3, 2017

Speaker: Li Yang Tan


Title: Small-footprint Highway Deep Neural Networks for Speech Recognition

Date: January 27, 2017

Speaker: Liang Lu


Title: CATS (Coordinates of Atoms by Taylor Series): A powerful new model of backbone flexibility for protein design

Date: January 20, 2017

Speaker: Mark Hallen


Title: Fractal and Multigrid Architectures for Deep Neural Networks

Date: January 13, 2017

Speaker: Michael Maire


Title: Machine Learning for Measurement and Inference from Visual Data

Date: January 6, 2017

Speaker: Ayan Chakrabarti


Title: Dropping Convexity for Faster Low Rank Recovery

Date: December 2, 2016

Speaker: Srinadh Bhojanapalli


Title: Following Natural Language Instructions in Unknown Environments

Date: November 11, 2016

Speaker: Matthew Walter


Title: Machine Learning and Immunology

Date: November 4, 2016

Speaker: Aly Khan


Title: Faster Projection-free Optimization and Learning

Date: October 7, 2016

Speaker: Jinbo Xu


Title: The Complexity of Minimizing Individual Convex Functions

Date: June 10, 2016

Speaker: John Lafferty


Title: Dense Correspondences in the Era of Deep Learning

Date: June 3, 2016

Speaker: Qixing Huang


Title: Complexity of Semi-Algebraic and Algebraic Proofs

Date: May 27, 2016

Speaker: Alexander Razborov


Title: On the Approximability of Constraint Satisfaction Problems

Date: May 20, 2016

Speaker: Madhur Tulsiani


Title: Optimization and tightness of convex relaxations for structured output prediction

Date: May 13, 2016

Speaker: Ofer Meshi


Title: Satisfiability of Ordering CSPs Above Average

Date: Apr 22, 2016

Speaker: Yury Makarychev


Title: Learning Concise Representations of Textual Knowledge

Date: Apr 8, 2016

Speaker: Kevin Gimpel


Title: Fast and Simple PCA via Convex Optimization

Date: Feb 26, 2016

Speaker: Dan Garber


Title: Toward Neural Segmental Sequence Models

Date: Feb 5, 2016

Speaker: Karen Livescu


Title: Architectures for Learning in Low-level Vision Applications

Date: Jan 29, 2016

Speaker: Ayan Chakrabarti


Title: Affinity CNN: Learning Pixel-Centric Pairwise Relations for Figure/Ground Embedding

Date: Jan 22, 2016

Speaker: Michael Marie


Title: Stochastic optimization with exponentially concave losses: lower and upper bounds on the excess risk

Date: Jan 15, 2016

Speaker: Mehrdad Mahdavi


Title: Dense Correspondences in the Era of Deep Learning

Date: Jan 8, 2016

Speaker: Qixing Huang


Title: Rich Representations for Parsing Visual Scenes

Date: Nov 13, 2015

Speaker: Greg Shakhnarovich


Title: An Average-Case Depth Hierarchy Theorem for Boolean Circuits

Date: Nov 6, 2015

Speaker: Li-Yang Tan


Title: Distributed machine learning

Date: Oct 30, 2015

Speaker: Huy Nguyen


Title: Dropping Convexity for Faster Semi-definite Optimization

Date: Oct 23, 2015

Speaker: Srinadh Bhojanapalli


Title: Learning and Optimization: Deep and Distributed

Date: Oct 16, 2015

Speaker: Nathan Srebro


Title: Improved 3d structure prediction of beta-barrel membrane proteins using evolutionary coupling constraints and a reduced state space

Date: Oct 9, 2015

Speaker: Hammad Naveed