Search All 2021 Events
  Search abstracts

Filter by Keyword:

12 Results

<<   <   Page 1 of 1   >>   >
Poster
Tue 14:00 List Learning with Attribute Noise
Mahdi Cheraghchi · Elena Grigorescu · Brendan Juba · Karl Wimmer · Ning Xie
Poster
Tue 14:00 Problem-Complexity Adaptive Model Selection for Stochastic Linear Bandits
Avishek Ghosh · Abishek Sankararaman · Ramchandran Kannan
Poster
Tue 14:00 Misspecification in Prediction Problems and Robustness via Improper Learning
Annie Marsden · John Duchi · Gregory Valiant
Poster
Tue 18:30 Meta Learning in the Continuous Time Limit
Ruitu Xu · Lin Chen · Amin Karbasi
Poster
Tue 18:30 γ-ABC: Outlier-Robust Approximate Bayesian Computation Based on a Robust Divergence Estimator
Masahiro Fujisawa · Takeshi Teshima · Issei Sato · Masashi Sugiyama
Poster
Wed 6:00 Aggregating Incomplete and Noisy Rankings
Dimitris Fotakis · Alkis Kalavasis · Konstantinos Stavropoulos
Poster
Wed 6:00 Learn to Expect the Unexpected: Probably Approximately Correct Domain Generalization
Vikas Garg · Adam Tauman Kalai · Katrina Ligett · Steven Wu
Poster
Wed 6:00 Learning Complexity of Simulated Annealing
Avrim Blum · Chen Dan · Saeed Seddighin
Poster
Wed 12:45 On the Minimax Optimality of the EM Algorithm for Learning Two-Component Mixed Linear Regression
Jeongyeol Kwon · Nhat Ho · Constantine Caramanis
Poster
Thu 7:30 The Teaching Dimension of Kernel Perceptron
Akash Kumar · Hanqi Zhang · Adish Singla · Yuxin Chen
Poster
Thu 7:30 A Stein Goodness-of-test for Exponential Random Graph Models
Wenkai Xu · Gesine Reinert
Oral
Thu 15:30 Misspecification in Prediction Problems and Robustness via Improper Learning
Annie Marsden · John Duchi · Gregory Valiant