31 Results

Poster
Tue 7:00 Dynamic Knapsack Optimization Towards Efficient Multi-Channel Sequential Advertising
Xiaotian Hao, Zhaoqing Peng, Yi Ma, Guan Wang, Junqi Jin, Jianye Hao, Shan Chen, Rongquan Bai, Mingzhou Xie, Miao Xu, Zhenzhe Zheng, Chuan Yu, HAN LI, Jian Xu, Kun Gai
Poster
Tue 7:00 Optimizing Long-term Social Welfare in Recommender Systems: A Constrained Matching Approach
Martin Mladenov, Elliot Creager, Omer Ben-Porat, Kevin Swersky, Richard Zemel, Craig Boutilier
Poster
Tue 8:00 Uncertainty-Aware Lookahead Factor Models for Quantitative Investing
Lakshay Chauhan, John Alberg, Zachary Lipton
Poster
Tue 9:00 Bayesian Graph Neural Networks with Adaptive Connection Sampling
Arman Hasanzadeh, Ehsan Hajiramezanali, Shahin Boluki, Mingyuan Zhou, Nick Duffield, Krishna Narayanan, Xiaoning Qian
Poster
Tue 9:00 A Markov Decision Process Model for Socio-Economic Systems Impacted by Climate Change
Salman Sadiq Shuvo, Yasin Yilmaz, Alan Bush, Mark Hafen
Poster
Tue 10:00 Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models
Yiding Feng, Ekaterina Khmelnitskaya, Denis Nekipelov
Poster
Tue 13:00 Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions
Ahmed Alaa, Mihaela van der Schaar
Poster
Tue 14:00 Why Are Learned Indexes So Effective?
Paolo Ferragina, Fabrizio Lillo, Giorgio Vinciguerra
Poster
Tue 15:00 When deep denoising meets iterative phase retrieval
Yaotian Wang, Xiaohang Sun, Jason Fleischer
Poster
Wed 5:00 Adaptive Droplet Routing in Digital Microfluidic Biochips Using Deep Reinforcement Learning
Tung-Che Liang, Zhanwei Zhong, Yaas Bigdeli, Tsung-Yi Ho, Krishnendu Chakrabarty, Richard Fair
Poster
Wed 5:00 Accelerating Large-Scale Inference with Anisotropic Vector Quantization
Ruiqi Guo, Philip Sun, Erik Lindgren, Quan Geng, David Simcha, Felix Chern, Sanjiv Kumar
Poster
Wed 8:00 Divide and Conquer: Leveraging Intermediate Feature Representations for Quantized Training of Neural Networks
Ahmed T. Elthakeb, Prannoy Pilligundla, FatemehSadat Mireshghallah, Alexander Cloninger, Hadi Esmaeilzadeh
Poster
Wed 9:00 Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
Cong Shen, Zhiyang Wang, Sofia Villar, Mihaela van der Schaar
Poster
Wed 10:00 NetGAN without GAN: From Random Walks to Low-Rank Approximations
Luca Rendsburg, Holger Heidrich, Ulrike von Luxburg
Poster
Wed 10:00 Learning to Simulate and Design for Structural Engineering
Kai-Hung Chang, Chin-Yi Cheng
Poster
Wed 11:00 Robust Graph Representation Learning via Neural Sparsification
Cheng Zheng, Bo Zong, Wei Cheng, Dongjin Song, Jingchao Ni, Wenchao Yu, Haifeng Chen, Wei Wang
Poster
Wed 12:00 Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters
Subho Banerjee, Saurabh Jha, Zbigniew Kalbarczyk, Ravishankar Iyer
Poster
Wed 13:00 Leveraging Frequency Analysis for Deep Fake Image Recognition
Joel Frank, Thorsten Eisenhofer, Lea Schönherr, Asja Fischer, Dorothea Kolossa, Thorsten Holz
Poster
Wed 14:00 Multi-Precision Policy Enforced Training (MuPPET) : A Precision-Switching Strategy for Quantised Fixed-Point Training of CNNs
Aditya Rajagopal, Diederik Vink, Stylianos Venieris, Christos-Savvas Bouganis
Poster
Thu 6:00 Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
Tianju Xue, Alex Beatson, Sigrid Adriaenssens , Ryan P. Adams
Poster
Thu 6:00 Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu, Zheng Qin
Poster
Thu 6:00 Learning Robot Skills with Temporal Variational Inference
Tanmay Shankar, Abhinav Gupta
Poster
Thu 6:00 Learning Selection Strategies in Buchberger’s Algorithm
Dylan Peifer, Michael Stillman, Daniel Halpern-Leistner
Poster
Thu 6:00 Learning Optimal Tree Models under Beam Search
Jingwei Zhuo, Ziru Xu, Wei Dai, Han Zhu, HAN LI, Jian Xu, Kun Gai
Poster
Thu 7:00 Goodness-of-Fit Tests for Inhomogeneous Random Graphs
Soham Dan, Bhaswar B. Bhattacharya
Poster
Thu 7:00 Adversarial Attacks on Copyright Detection Systems
Parsa Saadatpanah, Ali Shafahi, Tom Goldstein
Poster
Thu 7:00 Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia, Eugene Belilovsky, Massimo Caccia, Joelle Pineau
Poster
Thu 8:00 An Imitation Learning Approach for Cache Replacement
Evan Liu, Milad Hashemi, Kevin Swersky, Partha Ranganathan, Junwhan Ahn
Poster
Thu 12:00 Discriminative Jackknife: Quantifying Uncertainty in Deep Learning via Higher-Order Influence Functions
Ahmed Alaa, Mihaela van der Schaar
Poster
Thu 14:00 Reinforcement Learning for Molecular Design Guided by Quantum Mechanics
Gregor Simm, Robert Pinsler, Jose Miguel Hernandez-Lobato
Poster
Thu 17:00 Transformer Hawkes Process
Simiao Zuo, Haoming Jiang, Zichong Li, Tuo Zhao, Hongyuan Zha