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(16 events)   Timezone:  
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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 10
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
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems
In Poster Session 10
Kaixuan Wei · Angelica I Aviles-Rivero · Jingwei Liang · Ying Fu · Carola-Bibiane Schönlieb · Hua Huang
[ Slides] 
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 10
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 10
Futoshi Futami · Issei Sato · Masashi Sugiyama
Poster
Tue Jul 14 06:00 PM -- 06:45 PM & Wed Jul 15 03:00 AM -- 03:45 AM (PDT)
Counterfactual Cross-Validation: Stable Model Selection Procedure for Causal Inference Models
In Poster Session 10
Yuta Saito · Shota Yasui
[ Slides] 
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 10
Kei Ota · Tomoaki Oiki · Devesh Jha · Toshisada Mariyama · Daniel Nikovski
[ Slides] 
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 10
Xiantong Zhen · Haoliang Sun · Yingjun Du · Jun Xu · Yilong Yin · Ling Shao · Cees Snoek
[ Slides] 
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 10
Jingfeng Zhang · Xilie Xu · Bo Han · Gang Niu · Lizhen Cui · Masashi Sugiyama · Mohan Kankanhalli
[ Slides] 
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 10
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 with Feature and Distribution Evolvable Streams
In Poster Session 10
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 10
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 10
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 10
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) @ Virtual
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
In Poster Session 10
Che Wang · Yanqiu Wu · Quan Vuong · Keith Ross
[ Slides] 
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 10
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)
Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization
In Poster Session 10
Pan Zhou · Xiao-Tong Yuan