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Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Tails of Lipschitz Triangular Flows
In Poster Session 51
Priyank Jaini · Ivan Kobyzev · Yaoliang Yu · Marcus Brubaker
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Performative Prediction
In Poster Session 51
Juan Perdomo · Tijana Zrnic · Celestine Mendler-Dünner · Moritz Hardt
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
T-GD: Transferable GAN-generated Images Detection Framework
In Poster Session 51
Hyeonseong Jeon · Young Oh Bang · Junyaup Kim · Simon Woo
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Reducing Sampling Error in Batch Temporal Difference Learning
In Poster Session 51
Brahma Pavse · Ishan Durugkar · Josiah Hanna · Peter Stone
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Learning Optimal Tree Models under Beam Search
In Poster Session 51
Jingwei Zhuo · Ziru Xu · Wei Dai · Han Zhu · HAN LI · Jian Xu · Kun Gai
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Deep Graph Random Process for Relational-Thinking-Based Speech Recognition
In Poster Session 51
Huang Hengguan · Fuzhao Xue · Hao Wang · Ye Wang
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Provably Efficient Model-based Policy Adaptation
In Poster Session 51
Yuda Song · Aditi Mavalankar · Wen Sun · Sicun Gao
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Kernelized Stein Discrepancy Tests of Goodness-of-fit for Time-to-Event Data
In Poster Session 51
Tamara Fernandez · Arthur Gretton · Nicolas Rivera · Wenkai Xu
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
On Breaking Deep Generative Model-based Defenses and Beyond
In Poster Session 51
Yanzhi Chen · Renjie Xie · Zhanxing Zhu
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards
In Poster Session 51
Aadirupa Saha · Pierre Gaillard · Michal Valko
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Do RNN and LSTM have Long Memory?
In Poster Session 51
Jingyu Zhao · Feiqing Huang · Jia Lv · Yanjie Duan · Zhen Qin · Guodong Li · Guangjian Tian
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Lower Complexity Bounds for Finite-Sum Convex-Concave Minimax Optimization Problems
In Poster Session 51
Guangzeng Xie · Luo Luo · yijiang lian · Zhihua Zhang
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Towards Accurate Post-training Network Quantization via Bit-Split and Stitching
In Poster Session 51
Peisong Wang · Qiang Chen · Xiangyu He · Jian Cheng
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Universal Asymptotic Optimality of Polyak Momentum
In Poster Session 51
Damien Scieur · Fabian Pedregosa
Poster
Thu Jul 16 10:00 PM -- 10:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Towards Understanding the Regularization of Adversarial Robustness on Neural Networks
In Poster Session 51
Yuxin Wen · Shuai Li · Kui Jia
Poster
Thu Jul 16 11:00 PM -- 11:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
R2-B2: Recursive Reasoning-Based Bayesian Optimization for No-Regret Learning in Games
In Poster Session 51
Zhongxiang Dai · Yizhou Chen · Bryan Kian Hsiang Low · Patrick Jaillet · Teck-Hua Ho
Poster
Thu Jul 16 11:00 PM -- 11:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Learning Task-Agnostic Embedding of Multiple Black-Box Experts for Multi-Task Model Fusion
In Poster Session 51
Nghia Hoang · Thanh Lam · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu Jul 16 11:00 PM -- 11:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Model-Based Reinforcement Learning with Value-Targeted Regression
In Poster Session 51
Alex Ayoub · Zeyu Jia · Csaba Szepesvari · Mengdi Wang · Lin Yang
Poster
Thu Jul 16 11:00 PM -- 11:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
A Nearly-Linear Time Algorithm for Exact Community Recovery in Stochastic Block Model
In Poster Session 51
Peng Wang · Zirui Zhou · Anthony Man-Cho So
Poster
Thu Jul 16 11:00 PM -- 11:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
On Differentially Private Stochastic Convex Optimization with Heavy-tailed Data
In Poster Session 51
Di Wang · Hanshen Xiao · Srinivas Devadas · Jinhui Xu
Poster
Thu Jul 16 11:00 PM -- 11:45 PM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Distribution Augmentation for Generative Modeling
In Poster Session 51
Heewoo Jun · Rewon Child · Mark Chen · John Schulman · Aditya Ramesh · Alec Radford · Ilya Sutskever
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Non-convex Learning via Replica Exchange Stochastic Gradient MCMC
In Poster Session 51
Wei Deng · Qi Feng · Liyao Gao · Faming Liang · Guang Lin
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Principled learning method for Wasserstein distributionally robust optimization with local perturbations
In Poster Session 51
Yongchan Kwon · Wonyoung Kim · Joong-Ho (Johann) Won · Myunghee Cho Paik
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Minimax Pareto Fairness: A Multi Objective Perspective
In Poster Session 51
Natalia Martinez Gil · Martin Bertran · Guillermo Sapiro
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Certified Data Removal from Machine Learning Models
In Poster Session 51
Chuan Guo · Tom Goldstein · Awni Hannun · Laurens van der Maaten
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
One-shot Distributed Ridge Regression in High Dimensions
In Poster Session 51
Yue Sheng · Edgar Dobriban
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Cost-Effective Interactive Attention Learning with Neural Attention Processes
In Poster Session 51
Jay Heo · Junhyeon Park · Hyewon Jeong · Kwang Joon Kim · Juho Lee · Eunho Yang · Sung Ju Hwang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
High-dimensional Robust Mean Estimation via Gradient Descent
In Poster Session 51
Yu Cheng · Ilias Diakonikolas · Rong Ge · Mahdi Soltanolkotabi
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Momentum-Based Policy Gradient Methods
In Poster Session 51
Feihu Huang · Shangqian Gao · Jian Pei · Heng Huang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Visual Grounding of Learned Physical Models
In Poster Session 51
Yunzhu Li · Toru Lin · Kexin Yi · Daniel Bear · Daniel Yamins · Jiajun Wu · Josh Tenenbaum · Antonio Torralba
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Coresets for Data-efficient Training of Machine Learning Models
In Poster Session 51
Baharan Mirzasoleiman · Jeff Bilmes · Jure Leskovec
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
An Imitation Learning Approach for Cache Replacement
In Poster Session 51
Evan Liu · Milad Hashemi · Kevin Swersky · Parthasarathy Ranganathan · Junwhan Ahn
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs
In Poster Session 51
Meng Qu · Tianyu Gao · Louis-Pascal Xhonneux · Jian Tang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Communication-Efficient Distributed Stochastic AUC Maximization with Deep Neural Networks
In Poster Session 51
Zhishuai Guo · Mingrui Liu · Zhuoning Yuan · Li Shen · Wei Liu · Tianbao Yang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Optimizing Data Usage via Differentiable Rewards
In Poster Session 51
Xinyi Wang · Hieu Pham · Paul Michel · Antonios Anastasopoulos · Jaime Carbonell · Graham Neubig
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Domain Aggregation Networks for Multi-Source Domain Adaptation
In Poster Session 51
Junfeng Wen · Russell Greiner · Dale Schuurmans
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Generalized and Scalable Optimal Sparse Decision Trees
In Poster Session 51
Jimmy Lin · Chudi Zhong · Diane Hu · Cynthia Rudin · Margo Seltzer
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
The Performance Analysis of Generalized Margin Maximizers on Separable Data
In Poster Session 51
Fariborz Salehi · Ehsan Abbasi · Babak Hassibi
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Gradient Temporal-Difference Learning with Regularized Corrections
In Poster Session 51
Sina Ghiassian · Andrew Patterson · Shivam Garg · Dhawal Gupta · Adam White · Martha White
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Learning Mixtures of Graphs from Epidemic Cascades
In Poster Session 51
Jessica Hoffmann · Soumya Basu · Surbhi Goel · Constantine Caramanis
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
AR-DAE: Towards Unbiased Neural Entropy Gradient Estimation
In Poster Session 51
Jae Hyun Lim · Aaron Courville · Christopher Pal · Chin-Wei Huang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
Beyond Synthetic Noise: Deep Learning on Controlled Noisy Labels
In Poster Session 51
Lu Jiang · Di Huang · Mason Liu · Weilong Yang
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Defense Through Diverse Directions
In Poster Session 51
Christopher Bender · Yang Li · Yifeng Shi · Michael K. Reiter · Junier Oliva
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Sparse Sinkhorn Attention
In Poster Session 51
Yi Tay · Dara Bahri · Liu Yang · Don Metzler · Da-Cheng Juan
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Progressive Identification of True Labels for Partial-Label Learning
In Poster Session 51
Jiaqi Lv · Miao Xu · Lei Feng · Gang Niu · Xin Geng · Masashi Sugiyama
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST) @ Virtual
UniLMv2: Pseudo-Masked Language Models for Unified Language Model Pre-Training
In Poster Session 51
Hangbo Bao · Li Dong · Furu Wei · Wenhui Wang · Nan Yang · Xiaodong Liu · Yu Wang · Jianfeng Gao · Songhao Piao · Ming Zhou · Hsiao-Wuen Hon
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Generalization and Representational Limits of Graph Neural Networks
In Poster Session 51
Vikas Garg · Stefanie Jegelka · Tommi Jaakkola
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Learning Human Objectives by Evaluating Hypothetical Behavior
In Poster Session 51
Siddharth Reddy · Anca Dragan · Sergey Levine · Shane Legg · Jan Leike
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
SGD Learns One-Layer Networks in WGANs
In Poster Session 51
Qi Lei · Jason Lee · Alexandros Dimakis · Constantinos Daskalakis
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Emergence of Separable Manifolds in Deep Language Representations
In Poster Session 51
Jonathan Mamou · Hang Le · Miguel A del Rio Fernandez · Cory Stephenson · Hanlin Tang · Yoon Kim · SueYeon Chung
Poster
Fri Jul 17 12:00 AM -- 12:45 AM & Fri Jul 17 11:00 AM -- 11:45 AM (KST)
Collapsed Amortized Variational Inference for Switching Nonlinear Dynamical Systems
In Poster Session 51
Zhe Dong · Bryan Seybold · Kevin Murphy · Hung Bui