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Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Estimating Generalization under Distribution Shifts via Domain-Invariant Representations
In Poster Session 20
Ching-Yao Chuang · Antonio Torralba · Stefanie Jegelka
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Interferometric Graph Transform: a Deep Unsupervised Graph Representation
In Poster Session 20
Edouard Oyallon
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Invertible generative models for inverse problems: mitigating representation error and dataset bias
In Poster Session 20
Muhammad Asim · Mara Daniels · Oscar Leong · Ali Ahmed · Paul Hand
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Double Reinforcement Learning for Efficient and Robust Off-Policy Evaluation
In Poster Session 20
Nathan Kallus · Masatoshi Uehara
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Invariant Causal Prediction for Block MDPs
In Poster Session 20
Amy Zhang · Clare Lyle · Shagun Sodhani · Angelos Filos · Marta Kwiatkowska · Joelle Pineau · Yarin Gal · Doina Precup
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Unsupervised Speech Decomposition via Triple Information Bottleneck
In Poster Session 20
Kaizhi Qian · Yang Zhang · Shiyu Chang · Mark Hasegawa-Johnson · David Cox
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
When deep denoising meets iterative phase retrieval
In Poster Session 20
Yaotian Wang · Xiaohang Sun · Jason Fleischer
Poster
Tue Jul 14 03:00 PM -- 03:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Thompson Sampling Algorithms for Mean-Variance Bandits
In Poster Session 20
Qiuyu Zhu · Vincent Tan
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Learning with Feature and Distribution Evolvable Streams
In Poster Session 20
Zhen-Yu Zhang · Peng Zhao · Yuan Jiang · Zhi-Hua Zhou
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Efficiently Learning Adversarially Robust Halfspaces with Noise
In Poster Session 20
Omar Montasser · Surbhi Goel · Ilias Diakonikolas · Nati Srebro
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Logistic Regression for Massive Data with Rare Events
In Poster Session 20
HaiYing Wang
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Intrinsic Reward Driven Imitation Learning via Generative Model
In Poster Session 20
Xingrui Yu · Yueming LYU · Ivor Tsang
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
In Poster Session 20
Pan Zhou · Xiao-Tong Yuan
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
In Poster Session 20
Kaixuan Wei · Angelica I Aviles-Rivero · Jingwei Liang · Ying Fu · Carola-Bibiane Schönlieb · Hua Huang
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
On the Relation between Quality-Diversity Evaluation and Distribution-Fitting Goal in Text Generation
In Poster Session 20
Jianing Li · Yanyan Lan · Jiafeng Guo · Xueqi Cheng
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Accelerating the diffusion-based ensemble sampling by non-reversible dynamics
In Poster Session 20
Futoshi Futami · Issei Sato · Masashi Sugiyama
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Can Increasing Input Dimensionality Improve Deep Reinforcement Learning?
In Poster Session 20
Kei Ota · Tomoaki Oiki · Devesh Jha · Toshisada Mariyama · Daniel Nikovski
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Learning to Learn Kernels with Variational Random Features
In Poster Session 20
Xiantong Zhen · Haoliang Sun · Yingjun Du · Jun Xu · Yilong Yin · Ling Shao · Cees Snoek
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger
In Poster Session 20
Jingfeng Zhang · Xilie Xu · Bo Han · Gang Niu · Lizhen Cui · Masashi Sugiyama · Mohan Kankanhalli
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its Parallelization
In Poster Session 20
Shion Takeno · Hitoshi Fukuoka · Yuhki Tsukada · Toshiyuki Koyama · Motoki Shiga · Ichiro Takeuchi · Masayuki Karasuyama
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Learning De-biased Representations with Biased Representations
In Poster Session 20
Hyojin Bahng · SANGHYUK CHUN · Sangdoo Yun · Jaegul Choo · Seong Joon Oh
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Rate-distortion optimization guided autoencoder for isometric embedding in Euclidean latent space
In Poster Session 20
Keizo Kato · Jing Zhou · Tomotake Sasaki · Akira Nakagawa
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT) @ Virtual
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
In Poster Session 20
Che Wang · Yanqiu Wu · Quan Vuong · Keith Ross
Poster
Tue Jul 14 07:00 PM -- 07:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
DessiLBI: Exploring Structural Sparsity of Deep Networks via Differential Inclusion Paths
In Poster Session 20
Yanwei Fu · Chen Liu · Donghao Li · Xinwei Sun · Jinshan ZENG · Yuan YAO
Poster
Tue Jul 14 07:00 PM -- 07:45 PM & Wed Jul 15 04:00 AM -- 04:45 AM (PDT)
Unbiased Risk Estimators Can Mislead: A Case Study of Learning with Complementary Labels
In Poster Session 20
Yu-Ting Chou · Gang Niu · Hsuan-Tien (Tien) Lin · Masashi Sugiyama