Skip to yearly menu bar Skip to main content


(23 events)   Timezone:  
Show all
Toggle Poster Visibility
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #219
Control Batch Size and Learning Rate to Generalize Well: Theoretical and Empirical Evidence
In Theory -- Learning Theory
Fengxiang He · Tongliang Liu · Dacheng Tao
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #220
Data-dependent Sample Complexity of Deep Neural Networks via Lipschitz Augmentation
In Theory -- Learning Theory
Colin Wei · Tengyu Ma
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #221
Exact inference in structured prediction
In Theory -- Learning Theory
Kevin Bello · Jean Honorio
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #222
Globally optimal score-based learning of directed acyclic graphs in high-dimensions
In Theory -- Learning Theory
Bryon Aragam · Arash Amini · Qing Zhou
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #223
List-decodable Linear Regression
In Theory -- Learning Theory
Sushrut Karmalkar · Adam Klivans · Pravesh Kothari
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #224
On the Calibration of Multiclass Classification with Rejection
In Theory -- Learning Theory
Chenri Ni · Nontawat Charoenphakdee · Junya Honda · Masashi Sugiyama
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #225
On the Hardness of Robust Classification
In Theory -- Learning Theory
Pascale Gourdeau · Varun Kanade · Marta Kwiatkowska · James Worrell
[ Paper]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #226
Optimal Analysis of Subset-Selection Based L_p Low-Rank Approximation
In Theory -- Learning Theory
Chen Dan · Hong Wang · Hongyang Zhang · Yuchen Zhou · Pradeep Ravikumar
[ Paper]  [ Poster]  [ Slides] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #227
PAC-Bayes under potentially heavy tails
In Theory -- Learning Theory
Matthew Holland
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #228
Quantum Entropy Scoring for Fast Robust Mean Estimation and Improved Outlier Detection
In Theory -- Learning Theory
Yihe Dong · Samuel Hopkins · Jerry Li
[ Paper]  [ Poster] 
Poster
Tue Dec 10 10:45 AM -- 12:45 PM (PST) @ East Exhibition Hall B + C #229
Uniform convergence may be unable to explain generalization in deep learning
In Theory -- Learning Theory
Vaishnavh Nagarajan · J. Zico Kolter
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #217
A Polynomial Time Algorithm for Log-Concave Maximum Likelihood via Locally Exponential Families
In Theory -- Learning Theory
Brian Axelrod · Ilias Diakonikolas · Alistair Stewart · Anastasios Sidiropoulos · Gregory Valiant
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #218
Dichotomize and Generalize: PAC-Bayesian Binary Activated Deep Neural Networks
In Theory -- Learning Theory
Gaël Letarte · Pascal Germain · Benjamin Guedj · Francois Laviolette
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #219
Finite-time Analysis of Approximate Policy Iteration for the Linear Quadratic Regulator
In Theory -- Learning Theory
Karl Krauth · Stephen Tu · Benjamin Recht
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #220
Hypothesis Set Stability and Generalization
In Theory -- Learning Theory
Dylan Foster · Spencer Greenberg · Satyen Kale · Haipeng Luo · Mehryar Mohri · Karthik Sridharan
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #221
Minimizers of the Empirical Risk and Risk Monotonicity
In Theory -- Learning Theory
Marco Loog · Tom Viering · Alexander Mey
[ Paper]  [ Slides] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #222
Multiclass Learning from Contradictions
In Theory -- Learning Theory
Sauptik Dhar · Vladimir Cherkassky · Mohak Shah
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #223
On the Correctness and Sample Complexity of Inverse Reinforcement Learning
In Theory -- Learning Theory
Abi Komanduru · Jean Honorio
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #224
On the Power and Limitations of Random Features for Understanding Neural Networks
In Theory -- Learning Theory
Gilad Yehudai · Ohad Shamir
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #225
Robustness to Adversarial Perturbations in Learning from Incomplete Data
In Theory -- Learning Theory
Amir Najafi · Shin-ichi Maeda · Masanori Koyama · Takeru Miyato
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #226
Stability of Graph Scattering Transforms
In Theory -- Learning Theory
Fernando Gama · Alejandro Ribeiro · Joan Bruna
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #227
State Aggregation Learning from Markov Transition Data
In Theory -- Learning Theory
Yaqi Duan · Zheng Tracy Ke · Mengdi Wang
[ Paper]  [ Poster] 
Poster
Tue Dec 10 05:30 PM -- 07:30 PM (PST) @ East Exhibition Hall B + C #228
Toward a Characterization of Loss Functions for Distribution Learning
In Theory -- Learning Theory
Nika Haghtalab · Cameron Musco · Bo Waggoner
[ Paper]  [ Poster]