|
Workshop
|
Fri 9:30
|
Deep-learning-based characterization of glucose biomarkers to identify type 2 diabetes, prediabetes, and healthy individuals
Sina Akbarian · Qayam Jetha · Jouhyun Jeon
|
|
|
Affinity Workshop
|
|
Re-QGAN: an optimized adversarial quantum circuit learning framework
Anais Sandra Nguemto Guiawa
|
|
|
Workshop
|
|
Why are deep learning-based models of geophysical turbulence long-term unstable?
Ashesh Chattopadhyay · Pedram Hassanzadeh
|
|
|
Workshop
|
|
Meta-Learning General-Purpose Learning Algorithms with Transformers
Louis Kirsch · Luke Metz · James Harrison · Jascha Sohl-Dickstein
|
|
|
Poster
|
Thu 14:00
|
Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
|
|
|
Poster
|
Wed 14:00
|
Near Instance-Optimal PAC Reinforcement Learning for Deterministic MDPs
Andrea Tirinzoni · Aymen Al Marjani · Emilie Kaufmann
|
|
|
Workshop
|
|
Graph Q-Learning for Combinatorial Optimization
Victoria Magdalena Dax · Jiachen Li · Kevin Leahy · Mykel J Kochenderfer
|
|
|
Poster
|
Wed 14:00
|
Deep Attentive Belief Propagation: Integrating Reasoning and Learning for Solving Constraint Optimization Problems
Yanchen Deng · Shufeng Kong · Caihua Liu · Bo An
|
|
|
Workshop
|
|
On Using Deep Learning Proxies as Forward Models in Optimization Problems
Fatima Albreiki · Nidhal Belayouni · Deepak Gupta
|
|
|
Panel
|
Tue 9:15
|
Panel 1A-1: Near-Optimal Collaborative Learning… & Minimax Regret for…
Clémence Réda · Daniel Vial
|
|
|
Workshop
|
|
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
Dan Qiao · Yu-Xiang Wang
|
|
|
Poster
|
Wed 9:00
|
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
James Harrison · Luke Metz · Jascha Sohl-Dickstein
|
|
