Poster

Margin-Based Few-Shot Class-Incremental Learning with Class-Level Overfitting Mitigation
Yixiong Zou · Shanghang Zhang · Yuhua Li · Ruixuan Li

Poster

Wed 9:00

Imbalance Trouble: Revisiting Neural-Collapse Geometry
Christos Thrampoulidis · Ganesh Ramachandra Kini · Vala Vakilian · Tina Behnia

Poster

Thu 9:00

Multi-fidelity Monte Carlo: a pseudo-marginal approach
Diana Cai · Ryan Adams

Poster

Tue 9:00

Mirror Descent Maximizes Generalized Margin and Can Be Implemented Efficiently
Haoyuan Sun · Kwangjun Ahn · Christos Thrampoulidis · Navid Azizan

Poster

Wed 14:00

Incorporating Bias-aware Margins into Contrastive Loss for Collaborative Filtering
An Zhang · Wenchang Ma · Xiang Wang · Tat-Seng Chua

Poster

Wed 9:00

On Margins and Generalisation for Voting Classifiers
Felix Biggs · Valentina Zantedeschi · Benjamin Guedj

Poster

Tue 14:00

Differentially Private Learning with Margin Guarantees
Raef Bassily · Mehryar Mohri · Ananda Theertha Suresh

Poster

Thu 9:00

Training and Inference on Any-Order Autoregressive Models the Right Way
Andy Shih · Dorsa Sadigh · Stefano Ermon

Poster

Thu 14:00

Beyond the Return: Off-policy Function Estimation under User-specified Error-measuring Distributions
Audrey Huang · Nan Jiang

Poster

Tue 14:00

Private Synthetic Data for Multitask Learning and Marginal Queries
Giuseppe Vietri · Cedric Archambeau · Sergul Aydore · William Brown · Michael Kearns · Aaron Roth · Ankit Siva · Shuai Tang · Steven Wu

Poster

Wed 9:00

Bounding and Approximating Intersectional Fairness through Marginal Fairness
Mathieu Molina · Patrick Loiseau

Workshop

Scaling Marginalized Importance Sampling to High-Dimensional State-Spaces via State Abstraction
Brahma Pavse · Josiah Hanna

19 Results