firstbacksecondback
410 Results
|
Spotlight
|
Wed 8:40 |
ProxSkip: Yes! Local Gradient Steps Provably Lead to Communication Acceleration! Finally! Konstantin Mishchenko · Grigory Malinovsky · Sebastian Stich · Peter Richtarik |
|
|
Spotlight
|
Tue 8:55 |
Active Sampling for Min-Max Fairness Jacob Abernethy · Pranjal Awasthi · Matthäus Kleindessner · Jamie Morgenstern · Chris Russell · Jie Zhang |
|
|
Oral
|
Thu 13:00 |
Anarchic Federated Learning Haibo Yang · Xin Zhang · Prashant Khanduri · Jia Liu |
|
|
Spotlight
|
Thu 12:40 |
Delay-Adaptive Step-sizes for Asynchronous Learning Xuyang Wu · Sindri Magnusson · Hamid Reza Feyzmahdavian · Mikael Johansson |
|
|
Poster
|
Tue 15:30 |
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation Jiali Wang · Wen Huang · Rujun Jiang · Xudong Li · Alex Wang |
|
|
Oral
|
Tue 11:10 |
Solving Stackelberg Prediction Game with Least Squares Loss via Spherically Constrained Least Squares Reformulation Jiali Wang · Wen Huang · Rujun Jiang · Xudong Li · Alex Wang |
|
|
Poster
|
Wed 15:30 |
Convergence of Uncertainty Sampling for Active Learning Anant Raj · Francis Bach |
|
|
Poster
|
Tue 15:30 |
Active Sampling for Min-Max Fairness Jacob Abernethy · Pranjal Awasthi · Matthäus Kleindessner · Jamie Morgenstern · Chris Russell · Jie Zhang |
|
|
Workshop
|
Path Integral Stochastic Optimal Control for Sampling Transition Paths Lars Holdijk · Yuanqi Du · Priyank Jaini · Ferry Hooft · Bernd Ensing · Max Welling |
||
|
Poster
|
Wed 15:30 |
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training Risheng Liu · Xuan Liu · Shangzhi Zeng · Jin Zhang · Yixuan ZHANG |
|
|
Spotlight
|
Wed 14:55 |
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training Risheng Liu · Xuan Liu · Shangzhi Zeng · Jin Zhang · Yixuan ZHANG |
|
|
Tutorial
|
Mon 12:30 |
Sampling as First-Order Optimization over a space of probability measures Anna Korba · Adil Salim |