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11 Results

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Poster
Wed 14:00 Active Learning Through a Covering Lens
Ofer Yehuda · Avihu Dekel · Guy Hacohen · Daphna Weinshall
Poster
Tue 14:00 Trajectory of Mini-Batch Momentum: Batch Size Saturation and Convergence in High Dimensions
Kiwon Lee · Andrew Cheng · Elliot Paquette · Courtney Paquette
Poster
Thu 14:00 Integral Probability Metrics PAC-Bayes Bounds
Ron Amit · Baruch Epstein · Shay Moran · Ron Meir
Poster
Wed 9:00 Free Probability for predicting the performance of feed-forward fully connected neural networks
Reda CHHAIBI · Tariq Daouda · Ezechiel Kahn
Poster
Wed 14:00 Quantile Constrained Reinforcement Learning: A Reinforcement Learning Framework Constraining Outage Probability
Whiyoung Jung · Myungsik Cho · Jongeui Park · Youngchul Sung
Poster
Tue 14:00 Parameter-free Regret in High Probability with Heavy Tails
Jiujia Zhang · Ashok Cutkosky
Poster
Wed 14:00 On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow · Kaiyi Ji · Yingbin Liang
Poster
Tue 14:00 A Projection-free Algorithm for Constrained Stochastic Multi-level Composition Optimization
Tesi Xiao · Krishnakumar Balasubramanian · Saeed Ghadimi
Workshop
Equivariant Representations for Non-Free Group Actions
Luis Armando Pérez Rey · Giovanni Luca Marchetti · Danica Kragic · Dmitri Jarnikov · Mike Holenderski
Poster
Thu 14:00 Provably Efficient Model-Free Constrained RL with Linear Function Approximation
Arnob Ghosh · Xingyu Zhou · Ness Shroff
Poster
Thu 9:00 Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon · Danielle Hausler · Arun Jambulapati · Yujia Jin · Aaron Sidford