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Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #228
A General Framework for Symmetric Property Estimation
In Theory -- Learning Theory
Moses Charikar · Kirankumar Shiragur · Aaron Sidford
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #229
Generalization Bounds in the Predict-then-Optimize Framework
In Theory -- Learning Theory
Othman El Balghiti · Adam N. Elmachtoub · Paul Grigas · Ambuj Tewari
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #230
Generalization Error Analysis of Quantized Compressive Learning
In Theory -- Learning Theory
Xiaoyun Li · Ping Li
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #231
Implicit Regularization of Accelerated Methods in Hilbert Spaces
In Theory -- Learning Theory
Nicolò Pagliana · Lorenzo Rosasco
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #232
Information-Theoretic Generalization Bounds for SGLD via Data-Dependent Estimates
In Theory -- Learning Theory
Jeffrey Negrea · Mahdi Haghifam · Gintare Karolina Dziugaite · Ashish Khisti · Daniel Roy
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #233
Nearly Tight Bounds for Robust Proper Learning of Halfspaces with a Margin
In Theory -- Learning Theory
Ilias Diakonikolas · Daniel Kane · Pasin Manurangsi
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #234
PAC-Bayes Un-Expected Bernstein Inequality
In Theory -- Learning Theory
Zakaria Mhammedi · Peter Grünwald · Benjamin Guedj
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #235
Private Testing of Distributions via Sample Permutations
In Theory -- Learning Theory
Maryam Aliakbarpour · Ilias Diakonikolas · Daniel Kane · Ronitt Rubinfeld
[ Paper]  [ Poster]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #236
Regularization Matters: Generalization and Optimization of Neural Nets v.s. their Induced Kernel
In Theory -- Learning Theory
Colin Wei · Jason Lee · Qiang Liu · Tengyu Ma
[ Paper]  [ Slides] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #237
Statistical Analysis of Nearest Neighbor Methods for Anomaly Detection
In Theory -- Learning Theory
Xiaoyi Gu · Leman Akoglu · Alessandro Rinaldo
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #238
Theoretical Analysis of Adversarial Learning: A Minimax Approach
In Theory -- Learning Theory
Zhuozhuo Tu · Jingwei Zhang · Dacheng Tao
[ Paper]  [ Poster] 
Poster
Thu Dec 12 05:00 PM -- 07:00 PM (PST) @ East Exhibition Hall B + C #239
Unified Sample-Optimal Property Estimation in Near-Linear Time
In Theory -- Learning Theory
Yi Hao · Alon Orlitsky
[ Paper]  [ Poster]