Workshop
|
|
Benchmarking Offline Reinforcement Learning Algorithms for E-Commerce Order Fraud Evaluation
Soysal Degirmenci · Christopher S Jones
|
|
Poster
|
Thu 14:00
|
Amortized Proximal Optimization
Juhan Bae · Paul Vicol · Jeff Z. HaoChen · Roger Grosse
|
|
Workshop
|
|
How Small Amount of Data Sharing Benefits Higher-Order Distributed Optimization and Learning
Mingxi Zhu · Yinyu Ye
|
|
Poster
|
Tue 14:00
|
Black-Box Generalization: Stability of Zeroth-Order Learning
Konstantinos Nikolakakis · Farzin Haddadpour · Dionysis Kalogerias · Amin Karbasi
|
|
Poster
|
Wed 14:00
|
Sequence-to-Set Generative Models
Longtao Tang · Ying Zhou · Yu Yang
|
|
Workshop
|
Fri 6:30
|
Efficient Second-Order Stochastic Methods for Machine Learning
Donald Goldfarb
|
|
Poster
|
Wed 9:00
|
A gradient estimator via L1-randomization for online zero-order optimization with two point feedback
Arya Akhavan · Evgenii Chzhen · Massimiliano Pontil · Alexandre Tsybakov
|
|
Workshop
|
|
FLECS-CGD: A Federated Learning Second-Order Framework via Compression and Sketching with Compressed Gradient Differences
Artem Agafonov · Brahim Erraji · Martin Takac
|
|
Workshop
|
|
Incorporating Higher Order Constraints for Training Surrogate Models to Solve Inverse Problems
Jihui Jin · Nick Durofchalk · Richard Touret · Karim Sabra · Justin Romberg
|
|
Poster
|
Wed 9:00
|
Geometric Order Learning for Rank Estimation
Seon-Ho Lee · Nyeong Ho Shin · Chang-Su Kim
|
|
Poster
|
Tue 14:00
|
GENIE: Higher-Order Denoising Diffusion Solvers
Tim Dockhorn · Arash Vahdat · Karsten Kreis
|
|
Poster
|
Thu 9:00
|
Defining and Characterizing Reward Gaming
Joar Skalse · Nikolaus Howe · Dmitrii Krasheninnikov · David Krueger
|
|