firstbacksecondback
705 Results
|
Tutorial
|
Mon 2:00 |
Theory and Algorithms for Forecasting Non-Stationary Time Series Vitaly Kuznetsov · Mehryar Mohri |
|
|
Tutorial
|
Mon 5:30 |
Generative Adversarial Networks Ian Goodfellow |
|
|
Tutorial
|
Sun 23:30 |
Crowdsourcing: Beyond Label Generation Jennifer Wortman Vaughan |
|
|
Tutorial
|
Mon 2:00 |
Nuts and Bolts of Building Applications using Deep Learning Andrew Ng |
|
|
Tutorial
|
Mon 2:00 |
Natural Language Processing for Computational Social Science Cristian Danescu-Niculescu-Mizil · Lillian Lee |
|
|
Tutorial
|
Sun 23:30 |
Variational Inference: Foundations and Modern Methods David Blei · Shakir Mohamed · Rajesh Ranganath |
|
|
Tutorial
|
Sun 23:30 |
Deep Reinforcement Learning Through Policy Optimization Pieter Abbeel · John Schulman |
|
|
Tutorial
|
Mon 5:30 |
ML Foundations and Methods for Precision Medicine and Healthcare Suchi Saria · Peter Schulam |
|
|
Tutorial
|
Mon 5:30 |
Large-Scale Optimization: Beyond Stochastic Gradient Descent and Convexity Suvrit Sra · Francis Bach |
|
|
Workshop
|
Fri 23:00 |
The Future of Gradient-Based Machine Learning Software Alex Wiltschko · Zachary DeVito · Frederic Bastien · Pascal Lamblin |
|
|
Workshop
|
Thu 23:00 |
Learning in High Dimensions with Structure Nikhil Rao · Prateek Jain · Hsiang-Fu Yu · Ming Yuan · Francis Bach |
|
|
Workshop
|
Fri 23:00 |
Learning with Tensors: Why Now and How? Anima Anandkumar · Rong Ge · Yan Liu · Maximilian Nickel · Qi (Rose) Yu |