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