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