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Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #221
An Embedding Framework for Consistent Polyhedral Surrogates
In Theory -- Learning Theory
Jessica Finocchiaro · Rafael Frongillo · Bo Waggoner
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #222
Covariate-Powered Empirical Bayes Estimation
In Theory -- Learning Theory
Nikolaos Ignatiadis · Stefan Wager
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #223
Learning Bayesian Networks with Low Rank Conditional Probability Tables
In Theory -- Learning Theory
Adarsh Barik · Jean Honorio
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #224
Learning to Screen
In Theory -- Learning Theory
Alon Cohen · Avinatan Hassidim · Haim Kaplan · Yishay Mansour · Shay Moran
[ Paper]  [ Slides] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #225
Limits of Private Learning with Access to Public Data
In Theory -- Learning Theory
Raef Bassily · Shay Moran · Noga Alon
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #226
Multiclass Performance Metric Elicitation
In Theory -- Learning Theory
Gaurush Hiranandani · Shant Boodaghians · Ruta Mehta · Sanmi Koyejo
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #227
On the Value of Target Data in Transfer Learning
In Theory -- Learning Theory
Steve Hanneke · Samory Kpotufe
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #228
Outlier-Robust High-Dimensional Sparse Estimation via Iterative Filtering
In Theory -- Learning Theory
Ilias Diakonikolas · Daniel Kane · Sushrut Karmalkar · Eric Price · Alistair Stewart
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #229
Preference-Based Batch and Sequential Teaching: Towards a Unified View of Models
In Theory -- Learning Theory
Farnam Mansouri · Yuxin Chen · Ara Vartanian · Jerry Zhu · Adish Singla
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #230
Rates of Convergence for Large-scale Nearest Neighbor Classification
In Theory -- Learning Theory
Xingye Qiao · Jiexin Duan · Guang Cheng
[ Paper]  [ Poster] 
Poster
Wed Dec 11 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #231
What Can ResNet Learn Efficiently, Going Beyond Kernels?
In Theory -- Learning Theory
Zeyuan Allen-Zhu · Yuanzhi Li
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #225
An adaptive nearest neighbor rule for classification
In Theory -- Learning Theory
Akshay Balsubramani · Sanjoy Dasgupta · yoav Freund · Shay Moran
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #226
Distribution-Independent PAC Learning of Halfspaces with Massart Noise
In Theory -- Learning Theory
Ilias Diakonikolas · Themis Gouleakis · Christos Tzamos
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #227
Fast-rate PAC-Bayes Generalization Bounds via Shifted Rademacher Processes
In Theory -- Learning Theory
Jun Yang · Shengyang Sun · Daniel Roy
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #228
Generalization Bounds for Neural Networks via Approximate Description Length
In Theory -- Learning Theory
Amit Daniely · Elad Granot
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #229
Graph-based Discriminators: Sample Complexity and Expressiveness
In Theory -- Learning Theory
Roi Livni · Yishay Mansour
[ Paper]  [ Poster] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #230
Limitations of Lazy Training of Two-layers Neural Network
In Theory -- Learning Theory
Behrooz Ghorbani · Song Mei · Theodor Misiakiewicz · Andrea Montanari
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #231
On Making Stochastic Classifiers Deterministic
In Theory -- Learning Theory
Andrew Cotter · Maya Gupta · Harikrishna Narasimhan
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #232
Semi-Parametric Efficient Policy Learning with Continuous Actions
In Theory -- Learning Theory
Victor Chernozhukov · Mert Demirer · Greg Lewis · Vasilis Syrgkanis
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #233
Small ReLU networks are powerful memorizers: a tight analysis of memorization capacity
In Theory -- Learning Theory
Chulhee Yun · Suvrit Sra · Ali Jadbabaie
[ Paper]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #234
The Broad Optimality of Profile Maximum Likelihood
In Theory -- Learning Theory
Yi Hao · Alon Orlitsky
[ Paper]  [ Poster]  [ Slides] 
Poster
Wed Dec 11 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #235
Time/Accuracy Tradeoffs for Learning a ReLU with respect to Gaussian Marginals
In Theory -- Learning Theory
Surbhi Goel · Sushrut Karmalkar · Adam Klivans
[ Paper]  [ Poster]