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Expo Demonstration
Mon Jul 18 01:00 AM -- 06:00 AM (KST) @ Room 310 None
AEPsych: active learning for human perception and preferences
Chloe Rolland
Expo Demonstration
Mon Jul 18 01:00 AM -- 06:00 AM (KST) @ Room 310 None
TorchRL: the PyTorch RL Domain library
Chloe Rolland
Expo Talk Panel
Mon Jul 18 01:00 AM -- 05:45 AM (KST) @ Ballroom 3 None
Challenges Of Applying Graph Neural Networks
Bryan Perozzi · Vahab Mirrokni
Expo Talk Panel
Mon Jul 18 01:00 AM -- 04:00 AM (KST) @ Room 309 None
Enabling Hand Gesture Customization on Wrist-Worn Devices
Gierad Laput · Kai Killian
Expo Workshop
Mon Jul 18 01:00 AM -- 03:50 AM (KST) @ Room 301
Real World RL with Vowpal Wabbit and Azure Personalizer
Alexey Taymanov
Expo Talk Panel
Mon Jul 18 01:30 AM -- 02:15 AM (KST) @ Ballroom 1 None
Knowledge graph-based recommendation framework identifies drivers of resistance in EGFR mutant non-small cell lung cancer
Dimitris Polychronopoulos · Anna Gogleva
[ Slides] 
Expo Demonstration
Mon Jul 18 02:20 AM -- 03:20 AM (KST) @ Ballroom 1 None
Creating a scalable, reproducible, and reliable environment for model development with AstraZeneca and W&B.
Karan Nisar · Andrew Truong · Kyle Woestmann
Expo Demonstration
Mon Jul 18 03:00 AM -- 04:00 AM (KST) @ Room 309 None
Enabling Hand Gesture Customization on Wrist-Worn Devices
Gierad Laput · Rebecca Adaimi
Cancelled
Mon Jul 18 03:00 AM -- 03:45 AM (KST) @ Room 307 None
Amazon SageMaker Model Parallelism: A General and Flexible Framework for Large Model Training
Lauren Contreras
Expo Talk Panel
Mon Jul 18 03:30 AM -- 05:00 AM (KST) @ Ballroom 1 None
Machine learning for drug discovery: Challenges and opportunities
M van der Schaar · Jian Tang · A Martin Jones · Sébastien Lemieux · Thomas Watson
Expo Demonstration
Mon Jul 18 04:15 AM -- 05:00 AM (KST) @ Room 307
Robust and Fast Detection of Toxic Speech Content via Machine Learning
Lauren Contreras
Expo Talk Panel
Mon Jul 18 05:15 AM -- 06:00 AM (KST) @ Ballroom 1 None
Towards Robust Waveform-Based Acoustic Models
Dino Oglic
Spotlight
Tue Jul 19 11:45 PM -- 11:50 PM (KST) @ Hall F
Provable Reinforcement Learning with a Short-Term Memory
In Reinforcement Learning
Yonathan Efroni · Chi Jin · Akshay Krishnamurthy · Sobhan Miryoosefi
Spotlight
Tue Jul 19 11:50 PM -- 11:55 PM (KST) @ Ballroom 1 & 2
A Joint Exponential Mechanism For Differentially Private Top-$k$
In Social Aspects
Jennifer Gillenwater · Matthew Joseph · andres munoz · Monica Ribero Diaz
Spotlight
Wed Jul 20 12:30 AM -- 12:35 AM (KST) @ Room 327 - 329
A deep convolutional neural network that is invariant to time rescaling
In Deep Learning
Brandon G Jacques · Zoran Tiganj · Aakash Sarkar · Marc Howard · Per Sederberg
Spotlight
Wed Jul 20 12:35 AM -- 12:40 AM (KST) @ Room 327 - 329
LyaNet: A Lyapunov Framework for Training Neural ODEs
In Deep Learning
Ivan Dario Jimenez Rodriguez · Aaron Ames · Yisong Yue
Spotlight
Wed Jul 20 12:35 AM -- 12:40 AM (KST) @ Room 310
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
In Deep Learning: Generative Models/Autoencoders
Rakshith Subramanyam · Vivek Narayanaswamy · Mark Naufel · Andreas Spanias · Jayaraman J. Thiagarajan
Spotlight
Wed Jul 20 12:40 AM -- 12:45 AM (KST) @ Ballroom 1 & 2
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
In Social Aspects
Yuxin Wen · Jonas Geiping · Liam Fowl · Micah Goldblum · Tom Goldstein
Oral
Wed Jul 20 02:30 AM -- 02:50 AM (KST) @ Room 310
Robustness Implies Generalization via Data-Dependent Generalization Bounds
In Theory: Bandits/RL/Everything Else
Kenji Kawaguchi · Zhun Deng · Kyle Luh · Jiaoyang Huang
Oral
Wed Jul 20 03:00 AM -- 03:20 AM (KST) @ Room 307
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
In PM: Gaussian Processes
Jonathan Wenger · Geoff Pleiss · Philipp Hennig · John Cunningham · Jacob Gardner
Spotlight
Wed Jul 20 03:00 AM -- 03:05 AM (KST) @ Room 327 - 329
SpeqNets: Sparsity-aware permutation-equivariant graph networks
In DL: Graph Neural Networks
Christopher Morris · Gaurav Rattan · Sandra Kiefer · Siamak Ravanbakhsh
Spotlight
Wed Jul 20 03:05 AM -- 03:10 AM (KST) @ Hall G
Streaming Algorithms for Support-Aware Histograms
In Theory
Justin Chen · Piotr Indyk · Tal Wagner
Spotlight
Wed Jul 20 03:45 AM -- 03:50 AM (KST) @ Hall G
ActiveHedge: Hedge meets Active Learning
In Theory
Bhuvesh Kumar · Jacob Abernethy · Venkatesh Saligrama
Spotlight
Wed Jul 20 03:50 AM -- 03:55 AM (KST) @ Room 301 - 303
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
In MISC: Unsupervised and Semi-supervised Learning
Chen Qiu · Aodong Li · Marius Kloft · Maja Rudolph · Stephan Mandt
Oral
Wed Jul 20 05:15 AM -- 05:35 AM (KST) @ Hall F
POEM: Out-of-Distribution Detection with Posterior Sampling
In SA: Trustworthy Machine Learning
Yifei Ming · Ying Fan · Yixuan Li
Oral
Wed Jul 20 05:15 AM -- 05:35 AM (KST) @ Room 307
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
In PM: Monte Carlo and Sampling Methods
Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi
Spotlight
Wed Jul 20 05:40 AM -- 05:45 AM (KST) @ Hall F
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
In SA: Trustworthy Machine Learning
Ping Xiong · Thomas Schnake · Grégoire Montavon · Klaus-robert Mueller · Shinichi Nakajima
Spotlight
Wed Jul 20 05:40 AM -- 05:45 AM (KST) @ Hall G
The Teaching Dimension of Regularized Kernel Learners
In T: Learning/Deep Learning Theory
Hong Qian · Xu-Hui Liu · Chen-Xi Su · Aimin Zhou · Yang Yu
Oral
Wed Jul 20 05:45 AM -- 06:05 AM (KST) @ Room 327 - 329
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
In DL: Sequential Models
Samuel Holt · Zhaozhi Qian · Mihaela van der Schaar
Spotlight
Wed Jul 20 05:55 AM -- 06:00 AM (KST) @ Hall G
Multiclass learning with margin: exponential rates with no bias-variance trade-off
In T: Learning/Deep Learning Theory
Stefano Vigogna · Giacomo Meanti · Ernesto De Vito · Lorenzo Rosasco
Spotlight
Wed Jul 20 06:20 AM -- 06:25 AM (KST) @ Hall F
Accelerating Shapley Explanation via Contributive Cooperator Selection
In SA: Trustworthy Machine Learning
Guanchu Wang · Yu-Neng Chuang · Mengnan Du · Fan Yang · Quan Zhou · Pushkar Tripathi · Xuanting Cai · Xia Hu
Spotlight
Wed Jul 20 06:20 AM -- 06:25 AM (KST) @ Hall G
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
In T: Learning/Deep Learning Theory
Shaojie Li · Yong Liu
Spotlight
Wed Jul 20 06:20 AM -- 06:25 AM (KST) @ Room 309
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
In OPT: Non-Convex
Kevin Scaman · Cedric Malherbe · Ludovic DOS SANTOS
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #308
A deep convolutional neural network that is invariant to time rescaling
In Poster Session 1
Brandon G Jacques · Zoran Tiganj · Aakash Sarkar · Marc Howard · Per Sederberg
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #310
LyaNet: A Lyapunov Framework for Training Neural ODEs
In Poster Session 1
Ivan Dario Jimenez Rodriguez · Aaron Ames · Yisong Yue
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #337
Improved StyleGAN-v2 based Inversion for Out-of-Distribution Images
In Poster Session 1
Rakshith Subramanyam · Vivek Narayanaswamy · Mark Naufel · Andreas Spanias · Jayaraman J. Thiagarajan
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #412
SpeqNets: Sparsity-aware permutation-equivariant graph networks
In Poster Session 1
Christopher Morris · Gaurav Rattan · Sandra Kiefer · Siamak Ravanbakhsh
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #407
Neural Laplace: Learning diverse classes of differential equations in the Laplace domain
In Poster Session 1
Samuel Holt · Zhaozhi Qian · Mihaela van der Schaar
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #511
Latent Outlier Exposure for Anomaly Detection with Contaminated Data
In Poster Session 1
Chen Qiu · Aodong Li · Marius Kloft · Maja Rudolph · Stephan Mandt
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #706
Convergence Rates of Non-Convex Stochastic Gradient Descent Under a Generic Lojasiewicz Condition and Local Smoothness
In Poster Session 1
Kevin Scaman · Cedric Malherbe · Ludovic DOS SANTOS
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #737
Preconditioning for Scalable Gaussian Process Hyperparameter Optimization
In Poster Session 1
Jonathan Wenger · Geoff Pleiss · Philipp Hennig · John Cunningham · Jacob Gardner
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #723
Scalable MCMC Sampling for Nonsymmetric Determinantal Point Processes
In Poster Session 1
Insu Han · Mike Gartrell · Elvis Dohmatob · Amin Karbasi
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #806
Provable Reinforcement Learning with a Short-Term Memory
In Poster Session 1
Yonathan Efroni · Chi Jin · Akshay Krishnamurthy · Sobhan Miryoosefi
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #912
A Joint Exponential Mechanism For Differentially Private Top-$k$
In Poster Session 1
Jennifer Gillenwater · Matthew Joseph · andres munoz · Monica Ribero Diaz
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #926
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification
In Poster Session 1
Yuxin Wen · Jonas Geiping · Liam Fowl · Micah Goldblum · Tom Goldstein
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #1004
POEM: Out-of-Distribution Detection with Posterior Sampling
In Poster Session 1
Yifei Ming · Ying Fan · Yixuan Li
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #1008
Efficient Computation of Higher-Order Subgraph Attribution via Message Passing
In Poster Session 1
Ping Xiong · Thomas Schnake · Grégoire Montavon · Klaus-robert Mueller · Shinichi Nakajima
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #1020
Accelerating Shapley Explanation via Contributive Cooperator Selection
In Poster Session 1
Guanchu Wang · Yu-Neng Chuang · Mengnan Du · Fan Yang · Quan Zhou · Pushkar Tripathi · Xuanting Cai · Xia Hu
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #1112
Streaming Algorithms for Support-Aware Histograms
In Poster Session 1
Justin Chen · Piotr Indyk · Tal Wagner
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #1122
ActiveHedge: Hedge meets Active Learning
In Poster Session 1
Bhuvesh Kumar · Jacob Abernethy · Venkatesh Saligrama
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #1125
Robustness Implies Generalization via Data-Dependent Generalization Bounds
In Poster Session 1
Kenji Kawaguchi · Zhun Deng · Kyle Luh · Jiaoyang Huang
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #1210
The Teaching Dimension of Regularized Kernel Learners
In Poster Session 1
Hong Qian · Xu-Hui Liu · Chen-Xi Su · Aimin Zhou · Yang Yu
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #1216
Multiclass learning with margin: exponential rates with no bias-variance trade-off
In Poster Session 1
Stefano Vigogna · Giacomo Meanti · Ernesto De Vito · Lorenzo Rosasco
Poster
Wed Jul 20 07:30 AM -- 09:30 AM (KST) @ Hall E #1220
High Probability Guarantees for Nonconvex Stochastic Gradient Descent with Heavy Tails
In Poster Session 1
Shaojie Li · Yong Liu
Spotlight
Wed Jul 20 11:40 PM -- 11:45 PM (KST) @ Hall F
Efficient PAC Learning from the Crowd with Pairwise Comparisons
In T: Learning Theory/Domain Adaptation
Shiwei Zeng · Jie Shen
Spotlight
Wed Jul 20 11:50 PM -- 11:55 PM (KST) @ Ballroom 1 & 2
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
In Deep Learning
Arindam Banerjee · Tiancong Chen · Xinyan Li · Yingxue Zhou
Oral
Thu Jul 21 12:00 AM -- 12:20 AM (KST) @ Hall F
A new similarity measure for covariate shift with applications to nonparametric regression
In T: Learning Theory/Domain Adaptation
Reese Pathak · Cong Ma · Martin Wainwright
Oral
Thu Jul 21 12:10 AM -- 12:30 AM (KST) @ Room 310
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
In T: Game Theory/RL/Planning
Qinghua Liu · Yuanhao Wang · Chi Jin
Oral
Thu Jul 21 12:15 AM -- 12:35 AM (KST) @ Room 327 - 329
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
In OPT: First Order
Sharan Vaswani · Benjamin Dubois-Taine · Reza Babanezhad
Spotlight
Thu Jul 21 12:35 AM -- 12:40 AM (KST) @ Room 309
Deep Network Approximation in Terms of Intrinsic Parameters
In DL: Theory
Zuowei Shen · Haizhao Yang · Shijun Zhang
Spotlight
Thu Jul 21 12:40 AM -- 12:45 AM (KST) @ Ballroom 3 & 4
Near-optimal rate of consistency for linear models with missing values
In MISC: General Machine Learning Techniques
Alexis Ayme · Claire Boyer · Aymeric Dieuleveut · Erwan Scornet
Spotlight
Thu Jul 21 12:40 AM -- 12:45 AM (KST) @ Room 309
Coin Flipping Neural Networks
In DL: Theory
Yuval Sieradzki · Nitzan Hodos · Gal Yehuda · Assaf Schuster
Spotlight
Thu Jul 21 12:55 AM -- 01:00 AM (KST) @ Hall F
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
In T: Learning Theory/Domain Adaptation
Haoxiang Wang · Bo Li · Han Zhao
Spotlight
Thu Jul 21 02:20 AM -- 02:25 AM (KST) @ Hall F
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
In APP: Chemistry and Drug Discovery
Zoe Landgraf · Alexander Sorkine Hornung · ricardo cabral
Spotlight
Thu Jul 21 02:25 AM -- 02:30 AM (KST) @ Room 307
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
In Reinforcement Learning
Yingjie Fei · Ruitu Xu
Spotlight
Thu Jul 21 02:30 AM -- 02:35 AM (KST) @ Ballroom 3 & 4
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
In Theory
Liam Hodgkinson · Umut Simsekli · Rajiv Khanna · Michael Mahoney
Spotlight
Thu Jul 21 02:40 AM -- 02:45 AM (KST) @ Room 327 - 329
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards
In T: Online Learning and Bandits/Learning Theory
Huiwen Jia · Cong Shi · Siqian Shen
Spotlight
Thu Jul 21 03:20 AM -- 03:25 AM (KST) @ Room 309
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
In SA: Trustworthy Machine Learning
Adam Dziedzic · Nikita Dhawan · Muhammad Ahmad Kaleem · Jonas Guan · Nicolas Papernot
Spotlight
Thu Jul 21 05:30 AM -- 05:35 AM (KST) @ Room 309
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
In Deep Learning/Optimization
Mariia Seleznova · Gitta Kutyniok
Spotlight
Thu Jul 21 05:40 AM -- 05:45 AM (KST) @ Hall G
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime
In Reinforcement Learning
James-Michael Leahy · Bekzhan Kerimkulov · David Siska · Lukasz Szpruch
Spotlight
Thu Jul 21 05:40 AM -- 05:45 AM (KST) @ Room 318 - 320
Efficient Online ML API Selection for Multi-Label Classification Tasks
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Lingjiao Chen · Matei Zaharia · James Zou
Spotlight
Thu Jul 21 05:45 AM -- 05:50 AM (KST) @ Ballroom 3 & 4
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data
In Theory
Umberto M. Tomasini · Antonio Sclocchi · Matthieu Wyart
Spotlight
Thu Jul 21 06:00 AM -- 06:05 AM (KST) @ Room 318 - 320
Scalable Computation of Causal Bounds
In Miscellaneous Aspects of Machine Learning/Reinforcement Learning
Madhumitha Shridharan · Garud Iyengar
Spotlight
Thu Jul 21 06:40 AM -- 06:45 AM (KST) @ Room 307
Secure Quantized Training for Deep Learning
In SA: Privacy-preserving Statistics and Machine Learning
Marcel Keller · Ke Sun
Spotlight
Thu Jul 21 06:45 AM -- 06:50 AM (KST) @ Room 307
Private optimization in the interpolation regime: faster rates and hardness results
In SA: Privacy-preserving Statistics and Machine Learning
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
Spotlight
Thu Jul 21 06:50 AM -- 06:55 AM (KST) @ Room 309
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
In Deep Learning/Optimization
Yi Wang · Zhiren Wang
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #131
PINs: Progressive Implicit Networks for Multi-Scale Neural Representations
In Poster Session 2
Zoe Landgraf · Alexander Sorkine Hornung · ricardo cabral
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #227
Stability Based Generalization Bounds for Exponential Family Langevin Dynamics
In Poster Session 2
Arindam Banerjee · Tiancong Chen · Xinyan Li · Yingxue Zhou
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #314
Deep Network Approximation in Terms of Intrinsic Parameters
In Poster Session 2
Zuowei Shen · Haizhao Yang · Shijun Zhang
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #316
Coin Flipping Neural Networks
In Poster Session 2
Yuval Sieradzki · Nitzan Hodos · Gal Yehuda · Assaf Schuster
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #518
Neural Tangent Kernel Beyond the Infinite-Width Limit: Effects of Depth and Initialization
In Poster Session 2
Mariia Seleznova · Gitta Kutyniok
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #505
Near-optimal rate of consistency for linear models with missing values
In Poster Session 2
Alexis Ayme · Claire Boyer · Aymeric Dieuleveut · Erwan Scornet
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #635
Efficient Online ML API Selection for Multi-Label Classification Tasks
In Poster Session 2
Lingjiao Chen · Matei Zaharia · James Zou
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #627
Scalable Computation of Causal Bounds
In Poster Session 2
Madhumitha Shridharan · Garud Iyengar
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #706
Towards Noise-adaptive, Problem-adaptive (Accelerated) Stochastic Gradient Descent
In Poster Session 2
Sharan Vaswani · Benjamin Dubois-Taine · Reza Babanezhad
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #726
Three-stage Evolution and Fast Equilibrium for SGD with Non-degerate Critical Points
In Poster Session 2
Yi Wang · Zhiren Wang
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #825
Cascaded Gaps: Towards Logarithmic Regret for Risk-Sensitive Reinforcement Learning
In Poster Session 2
Yingjie Fei · Ruitu Xu
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #902
Convergence of Policy Gradient for Entropy Regularized MDPs with Neural Network Approximation in the Mean-Field Regime
In Poster Session 2
James-Michael Leahy · Bekzhan Kerimkulov · David Siska · Lukasz Szpruch
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #1008
On the Difficulty of Defending Self-Supervised Learning against Model Extraction
In Poster Session 2
Adam Dziedzic · Nikita Dhawan · Muhammad Ahmad Kaleem · Jonas Guan · Nicolas Papernot
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) #1013
Secure Quantized Training for Deep Learning
In Poster Session 2
Marcel Keller · Ke Sun
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #1011
Private optimization in the interpolation regime: faster rates and hardness results
In Poster Session 2
Hilal Asi · Karan Chadha · Gary Cheng · John Duchi
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #1106
Efficient PAC Learning from the Crowd with Pairwise Comparisons
In Poster Session 2
Shiwei Zeng · Jie Shen
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #1114
A new similarity measure for covariate shift with applications to nonparametric regression
In Poster Session 2
Reese Pathak · Cong Ma · Martin Wainwright
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #1123
Understanding Gradual Domain Adaptation: Improved Analysis, Optimal Path and Beyond
In Poster Session 2
Haoxiang Wang · Bo Li · Han Zhao
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #1111
Learning Markov Games with Adversarial Opponents: Efficient Algorithms and Fundamental Limits
In Poster Session 2
Qinghua Liu · Yuanhao Wang · Chi Jin
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #1214
Generalization Bounds using Lower Tail Exponents in Stochastic Optimizers
In Poster Session 2
Liam Hodgkinson · Umut Simsekli · Rajiv Khanna · Michael Mahoney
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #1310
Online Learning and Pricing with Reusable Resources: Linear Bandits with Sub-Exponential Rewards
In Poster Session 2
Huiwen Jia · Cong Shi · Siqian Shen
Poster
Thu Jul 21 07:30 AM -- 09:30 AM (KST) @ Hall E #1416
Failure and success of the spectral bias prediction for Laplace Kernel Ridge Regression: the case of low-dimensional data
In Poster Session 2
Umberto M. Tomasini · Antonio Sclocchi · Matthieu Wyart
Spotlight
Thu Jul 21 11:30 PM -- 11:35 PM (KST) @ Ballroom 1 & 2
Does the Data Induce Capacity Control in Deep Learning?
In Deep Learning
Rubing Yang · Jialin Mao · Pratik Chaudhari
Spotlight
Thu Jul 21 11:35 PM -- 11:40 PM (KST) @ Room 327 - 329
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
In MISC/Deep Learning
Julian Bitterwolf · Alexander Meinke · Maximilian Augustin · Matthias Hein
Spotlight
Thu Jul 21 11:55 PM -- 12:00 AM (KST) @ Room 318 - 320
Fast Finite Width Neural Tangent Kernel
In Deep Learning/Optimization
Roman Novak · Jascha Sohl-Dickstein · Samuel Schoenholz
Spotlight
Fri Jul 22 12:05 AM -- 12:10 AM (KST) @ Room 307
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
In Theory/Social Aspects
Gabriele Farina · Chung-Wei Lee · Haipeng Luo · Christian Kroer
Spotlight
Fri Jul 22 12:30 AM -- 12:35 AM (KST) @ Ballroom 3 & 4
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
In T: Bandits/Online Learning/Reinforcement Learning
Dan Qiao · Ming Yin · Ming Min · Yu-Xiang Wang
Spotlight
Fri Jul 22 12:35 AM -- 12:40 AM (KST) @ Room 307
Nested Bandits
In Theory/Social Aspects
Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier · Houssam Zenati
Spotlight
Fri Jul 22 12:45 AM -- 12:50 AM (KST) @ Ballroom 3 & 4
Branching Reinforcement Learning
In T: Bandits/Online Learning/Reinforcement Learning
Yihan Du · Wei Chen
Spotlight
Fri Jul 22 12:45 AM -- 12:50 AM (KST) @ Room 310
Difference Advantage Estimation for Multi-Agent Policy Gradients
In Optimization/Reinforcement Learning
yueheng li · Guangming Xie · Zongqing Lu
Spotlight
Fri Jul 22 02:40 AM -- 02:45 AM (KST) @ Room 307
Attentional Meta-learners for Few-shot Polythetic Classification
In MISC/Social Aspects
Ben Day · Ramon Viñas Torné · Nikola Simidjievski · Pietro Lió
Spotlight
Fri Jul 22 02:55 AM -- 03:00 AM (KST) @ Room 318 - 320
Adaptive Second Order Coresets for Data-efficient Machine Learning
In Optimization/Reinforcement Learning
Omead Pooladzandi · David Davini · Baharan Mirzasoleiman
Spotlight
Fri Jul 22 02:55 AM -- 03:00 AM (KST) @ Hall F
Linear Complexity Randomized Self-attention Mechanism
In Deep Learning: Attention Mechanisms
Lin Zheng · Chong Wang · Lingpeng Kong
Spotlight
Fri Jul 22 03:25 AM -- 03:30 AM (KST) @ Room 309
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
In Deep Learning/MISC
Osman Asif Malik
Spotlight
Fri Jul 22 03:35 AM -- 03:40 AM (KST) @ Room 301 - 303
Optimal Estimation of Policy Gradient via Double Fitted Iteration
In Reinforcement Learning
Chengzhuo Ni · Ruiqi Zhang · Xiang Ji · Xuezhou Zhang · Mengdi Wang
Spotlight
Fri Jul 22 03:45 AM -- 03:50 AM (KST) @ Room 310
MAML and ANIL Provably Learn Representations
In Probabilistic Methods/MISC
Liam Collins · Aryan Mokhtari · Sewoong Oh · Sanjay Shakkottai
Spotlight
Fri Jul 22 04:35 AM -- 04:40 AM (KST) @ Room 301 - 303
Data Scaling Laws in NMT: The Effect of Noise and Architecture
In Applications/MISC
Yamini Bansal · Behrooz Ghorbani · Ankush Garg · Biao Zhang · Colin Cherry · Behnam Neyshabur · Orhan Firat
Spotlight
Fri Jul 22 04:50 AM -- 04:55 AM (KST) @ Hall F
Augment with Care: Contrastive Learning for Combinatorial Problems
In Deep Learning
Haonan Duan · Pashootan Vaezipoor · Max Paulus · Yangjun Ruan · Chris Maddison
Oral
Fri Jul 22 05:05 AM -- 05:25 AM (KST) @ Ballroom 3 & 4
A Simple yet Universal Strategy for Online Convex Optimization
In T: Online Learning and Bandits
Lijun Zhang · Guanghui Wang · Jinfeng Yi · Tianbao Yang
Spotlight
Fri Jul 22 05:35 AM -- 05:40 AM (KST) @ Room 327 - 329
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
In Optimization/Theory
Weichao Mao · Lin Yang · Kaiqing Zhang · Tamer Basar
Spotlight
Fri Jul 22 05:40 AM -- 05:45 AM (KST) @ Room 301 - 303
Bregman Power k-Means for Clustering Exponential Family Data
In Applications/MISC
Adithya D Vellal · Saptarshi Chakraborty · Jason Xu
Spotlight
Fri Jul 22 05:55 AM -- 06:00 AM (KST) @ Hall F
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
In Deep Learning
Bobby He · Mete Ozay
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #230
Data Scaling Laws in NMT: The Effect of Noise and Architecture
In Poster Session 3
Yamini Bansal · Behrooz Ghorbani · Ankush Garg · Biao Zhang · Colin Cherry · Behnam Neyshabur · Orhan Firat
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #234
Does the Data Induce Capacity Control in Deep Learning?
In Poster Session 3
Rubing Yang · Jialin Mao · Pratik Chaudhari
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #328
Fast Finite Width Neural Tangent Kernel
In Poster Session 3
Roman Novak · Jascha Sohl-Dickstein · Samuel Schoenholz
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #337
Breaking Down Out-of-Distribution Detection: Many Methods Based on OOD Training Data Estimate a Combination of the Same Core Quantities
In Poster Session 3
Julian Bitterwolf · Alexander Meinke · Maximilian Augustin · Matthias Hein
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #408
Linear Complexity Randomized Self-attention Mechanism
In Poster Session 3
Lin Zheng · Chong Wang · Lingpeng Kong
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #403
Augment with Care: Contrastive Learning for Combinatorial Problems
In Poster Session 3
Haonan Duan · Pashootan Vaezipoor · Max Paulus · Yangjun Ruan · Chris Maddison
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #516
Exploring the Gap between Collapsed & Whitened Features in Self-Supervised Learning
In Poster Session 3
Bobby He · Mete Ozay
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #503
Attentional Meta-learners for Few-shot Polythetic Classification
In Poster Session 3
Ben Day · Ramon Viñas Torné · Nikola Simidjievski · Pietro Lió
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #614
More Efficient Sampling for Tensor Decomposition With Worst-Case Guarantees
In Poster Session 3
Osman Asif Malik
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #632
MAML and ANIL Provably Learn Representations
In Poster Session 3
Liam Collins · Aryan Mokhtari · Sewoong Oh · Sanjay Shakkottai
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #625
Bregman Power k-Means for Clustering Exponential Family Data
In Poster Session 3
Adithya D Vellal · Saptarshi Chakraborty · Jason Xu
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #710
Adaptive Second Order Coresets for Data-efficient Machine Learning
In Poster Session 3
Omead Pooladzandi · David Davini · Baharan Mirzasoleiman
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #803
Difference Advantage Estimation for Multi-Agent Policy Gradients
In Poster Session 3
yueheng li · Guangming Xie · Zongqing Lu
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #916
Optimal Estimation of Policy Gradient via Double Fitted Iteration
In Poster Session 3
Chengzhuo Ni · Ruiqi Zhang · Xiang Ji · Xuezhou Zhang · Mengdi Wang
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #1117
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
In Poster Session 3
Dan Qiao · Ming Yin · Ming Min · Yu-Xiang Wang
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #1111
Branching Reinforcement Learning
In Poster Session 3
Yihan Du · Wei Chen
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #1210
Kernelized Multiplicative Weights for 0/1-Polyhedral Games: Bridging the Gap Between Learning in Extensive-Form and Normal-Form Games
In Poster Session 3
Gabriele Farina · Chung-Wei Lee · Haipeng Luo · Christian Kroer
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #1216
Nested Bandits
In Poster Session 3
Matthieu Martin · Panayotis Mertikopoulos · Thibaud J Rahier · Houssam Zenati
[ Slides]  [ Poster]  [ Paper PDF] 
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #1315
A Simple yet Universal Strategy for Online Convex Optimization
In Poster Session 3
Lijun Zhang · Guanghui Wang · Jinfeng Yi · Tianbao Yang
Poster
Fri Jul 22 07:00 AM -- 09:00 AM (KST) @ Hall E #1422
On Improving Model-Free Algorithms for Decentralized Multi-Agent Reinforcement Learning
In Poster Session 3
Weichao Mao · Lin Yang · Kaiqing Zhang · Tamer Basar
Workshop
Fri Jul 22 09:45 PM -- 07:00 AM (KST) @ Ballroom 2
Beyond Bayes: Paths Towards Universal Reasoning Systems
Zenna Tavares · Emily Mackevicius · Elias Bingham · Nan Rosemary Ke · Talia Ringer · Armando Solar-Lezama · Nada Amin · John Krakauer · Robert O Ness · Alexis Avedisian
Workshop
Fri Jul 22 09:45 PM -- 09:00 AM (KST) @ Room 337 - 338 None
Machine Learning for Astrophysics
Francois Lanusse · Marc Huertas-Company · Vanessa Boehm · Brice Menard · Xavier Prochaska · Uros Seljak · Francisco Villaescusa-Navarro · Ashley Villar