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Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Multi-Task Learning with User Preferences: Gradient Descent with Controlled Ascent in Pareto Optimization
Debabrata Mahapatra · Vaibhav Rajan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Amortized Finite Element Analysis for Fast PDE-Constrained Optimization
Tianju Xue · Alex Beatson · Sigrid Adriaenssens · Ryan P. Adams
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sequence Generation with Mixed Representations
Lijun Wu · Shufang Xie · Yingce Xia · Yang Fan · Jian-Huang Lai · Tao Qin · Tie-Yan Liu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Input-Sparsity Low Rank Approximation in Schatten Norm
Yi Li · David Woodruff
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Analytic Marching: An Analytic Meshing Solution from Deep Implicit Surface Networks
Jiabao Lei · Kui Jia
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Acceleration through spectral density estimation
Fabian Pedregosa · Damien Scieur
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng · Jinshuo Dong · Qi Long · Weijie Su
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Differentiable Product Quantization for End-to-End Embedding Compression
Ting Chen · Lala Li · Yizhou Sun
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On a projective ensemble approach to two sample test for equality of distributions
Zhimei Li · Yaowu Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Black-Box Methods for Restoring Monotonicity
Evangelia Gergatsouli · Brendan Lucier · Christos Tzamos
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Reinforcement Learning with Smooth Policy
Qianli Shen · Yan Li · Haoming Jiang · Zhaoran Wang · Tuo Zhao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Does label smoothing mitigate label noise?
Michal Lukasik · Srinadh Bhojanapalli · Aditya Menon · Sanjiv Kumar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Sharp Statistical Guaratees for Adversarially Robust Gaussian Classification
Chen Dan · Yuting Wei · Pradeep Ravikumar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Meta Variance Transfer: Learning to Augment from the Others
Seong-Jin Park · Seungju Han · Ji-won Baek · Insoo Kim · Juhwan Song · Hae Beom Lee · Jae-Joon Han · Sung Ju Hwang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Causal Inference using Gaussian Processes with Structured Latent Confounders
Sam Witty · Kenta Takatsu · David Jensen · Vikash Mansinghka
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Robustifying Sequential Neural Processes
Jaesik Yoon · Gautam Singh · Sungjin Ahn
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Convolutional Network for Recommendation with Low-pass Collaborative Filters
Wenhui Yu · Zheng Qin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
PDO-eConvs: Partial Differential Operator Based Equivariant Convolutions
Zhengyang Shen · Lingshen He · Zhouchen Lin · Jinwen Ma
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Calibrated Surrogates for the Multi-Label F-Measure
Mingyuan Zhang · Harish Guruprasad Ramaswamy · Shivani Agarwal
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Mapping natural-language problems to formal-language solutions using structured neural representations
Kezhen Chen · Qiuyuan Huang · Hamid Palangi · Paul Smolensky · Ken Forbus · Jianfeng Gao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Robustness to Programmable String Transformations via Augmented Abstract Training
Yuhao Zhang · Aws Albarghouthi · Loris D'Antoni
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On Gradient Descent Ascent for Nonconvex-Concave Minimax Problems
Tianyi Lin · Chi Jin · Michael Jordan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Improving Transformer Optimization Through Better Initialization
Xiao Shi Huang · Felipe Perez · Jimmy Ba · Maksims Volkovs
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Do GANs always have Nash equilibria?
Farzan Farnia · Asuman Ozdaglar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Linear Lower Bounds and Conditioning of Differentiable Games
Adam Ibrahim · Waïss Azizian · Gauthier Gidel · Ioannis Mitliagkas
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bandits for BMO Functions
Tianyu Wang · Cynthia Rudin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Countering Language Drift with Seeded Iterated Learning
Yuchen Lu · Soumye Singhal · Florian Strub · Aaron Courville · Olivier Pietquin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Coordinate Minimization with Progressive Precision for Stochastic Convex Optimization
Sudeep Salgia · Qing Zhao · Sattar Vakili
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Bridging the Gap Between f-GANs and Wasserstein GANs
Jiaming Song · Stefano Ermon
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Understanding the Impact of Model Incoherence on Convergence of Incremental SGD with Random Reshuffle
Shaocong Ma · Yi Zhou
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
FR-Train: A Mutual Information-Based Approach to Fair and Robust Training
Yuji Roh · Kangwook Lee · Steven Whang · Changho Suh
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fast Deterministic CUR Matrix Decomposition with Accuracy Assurance
Yasutoshi Ida · Sekitoshi Kanai · Yasuhiro Fujiwara · Tomoharu Iwata · Koh Takeuchi · Hisashi Kashima
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Stochastic Gauss-Newton Algorithms for Nonconvex Compositional Optimization
Quoc Tran-Dinh · Nhan H Pham · Lam M. Nguyen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Region-Based Active Learning
Corinna Cortes · Giulia DeSalvo · Claudio Gentile · Mehryar Mohri · Ningshan Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
A Generic First-Order Algorithmic Framework for Bi-Level Programming Beyond Lower-Level Singleton
Risheng Liu · Pan Mu · Xiaoming Yuan · Shangzhi Zeng · Jin Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Sparsified Linear Programming for Zero-Sum Equilibrium Finding
Brian Zhang · Tuomas Sandholm
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Adaptive Adversarial Multi-task Representation Learning
YUREN MAO · Weiwei Liu · Xuemin Lin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Task Understanding from Confusing Multi-task Data
Xin Su · Yizhou Jiang · Shangqi Guo · Feng Chen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Convex Representation Learning for Generalized Invariance in Semi-Inner-Product Space
Yingyi Ma · Vignesh Ganapathiraman · Yaoliang Yu · Xinhua Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Refined bounds for algorithm configuration: The knife-edge of dual class approximability
Nina Balcan · Tuomas Sandholm · Ellen Vitercik
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Unraveling Meta-Learning: Understanding Feature Representations for Few-Shot Tasks
Micah Goldblum · Steven Reich · Liam Fowl · Renkun Ni · Valeriia Cherepanova · Tom Goldstein
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
DRWR: A Differentiable Renderer without Rendering for Unsupervised 3D Structure Learning from Silhouette Images
Zhizhong Han · Chao Chen · Yushen Liu · Matthias Zwicker
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Improving generalization by controlling label-noise information in neural network weights
Hrayr Harutyunyan · Kyle Reing · Greg Ver Steeg · Aram Galstyan
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Go Wide, Then Narrow: Efficient Training of Deep Thin Networks
Denny Zhou · Mao Ye · Chen Chen · Tianjian Meng · Mingxing Tan · Xiaodan Song · Quoc Le · Qiang Liu · Dale Schuurmans
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Graph Optimal Transport for Cross-Domain Alignment
Liqun Chen · Zhe Gan · Yu Cheng · Linjie Li · Lawrence Carin · Jingjing Liu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
ConQUR: Mitigating Delusional Bias in Deep Q-Learning
DiJia Su · Jayden Ooi · Tyler Lu · Dale Schuurmans · Craig Boutilier
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Generalization via Derandomization
Jeffrey Negrea · Gintare Karolina Dziugaite · Daniel Roy
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
The Intrinsic Robustness of Stochastic Bandits to Strategic Manipulation
Zhe Feng · David Parkes · Haifeng Xu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Reinforcement Learning in Feature Space: Matrix Bandit, Kernels, and Regret Bound
Lin Yang · Mengdi Wang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Learning Discrete Structured Representations by Adversarially Maximizing Mutual Information
Karl Stratos · Sam Wiseman
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Efficient Continuous Pareto Exploration in Multi-Task Learning
Pingchuan Ma · Tao Du · Wojciech Matusik
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Deep Molecular Programming: A Natural Implementation of Binary-Weight ReLU Neural Networks
Marko Vasic · Cameron Chalk · Sarfraz Khurshid · David Soloveichik
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Computational and Statistical Tradeoffs in Inferring Combinatorial Structures of Ising Model
Ying Jin · Zhaoran Wang · Junwei Lu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Time-aware Large Kernel Convolutions
Vasileios Lioutas · Yuhong Guo
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Provable Smoothness Guarantees for Black-Box Variational Inference
Justin Domke
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adversarial Attacks on Copyright Detection Systems
Parsa Saadatpanah · Ali Shafahi · Tom Goldstein
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
On hyperparameter tuning in general clustering problemsm
Xinjie Fan · Yuguang Yue · Purnamrita Sarkar · Y. X. Rachel Wang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Simultaneous Inference for Massive Data: Distributed Bootstrap
Yang Yu · Shih-Kang Chao · Guang Cheng
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Efficient Constructions of Checkpoints
Yu Chen · Zhenming LIU · Bin Ren · Xin Jin
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Adaptive Reward-Poisoning Attacks against Reinforcement Learning
Xuezhou Zhang · Yuzhe Ma · Adish Singla · Jerry Zhu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Variance Reduction and Quasi-Newton for Particle-Based Variational Inference
Michael Zhu · Chang Liu · Jun Zhu
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Spectral Frank-Wolfe Algorithm: Strict Complementarity and Linear Convergence
Lijun Ding · Yingjie Fei · Qiantong Xu · Chengrun Yang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
More Data Can Expand The Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen · Yifei Min · Mingrui Zhang · Amin Karbasi
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Goal-Aware Prediction: Learning to Model What Matters
Suraj Nair · Silvio Savarese · Chelsea Finn
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Implicit Class-Conditioned Domain Alignment for Unsupervised Domain Adaptation
Xiang Jiang · Qicheng Lao · Stan Matwin · Mohammad Havaei
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
No-Regret and Incentive-Compatible Online Learning
Rupert Freeman · David Pennock · Chara Podimata · Jennifer Wortman Vaughan
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Poisson Learning: Graph Based Semi-Supervised Learning At Very Low Label Rates
Jeff Calder · Brendan Cook · Matthew Thorpe · Dejan Slepcev
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
ACFlow: Flow Models for Arbitrary Conditional Likelihoods
Yang Li · Shoaib Akbar · Junier Oliva
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Data-Dependent Differentially Private Parameter Learning for Directed Graphical Models
Amrita Roy Chowdhury · Theodoros Rekatsinas · Somesh Jha
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learning with Imperfect Hints
Aditya Bhaskara · Ashok Cutkosky · Ravi Kumar · Manish Purohit
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Online Learned Continual Compression with Adaptive Quantization Modules
Lucas Caccia · Eugene Belilovsky · Massimo Caccia · Joelle Pineau
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Fractal Gaussian Networks: A sparse random graph model based on Gaussian Multiplicative Chaos
Subhroshekhar Ghosh · Krishna Balasubramanian · Xiaochuan Yang
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Educating Text Autoencoders: Latent Representation Guidance via Denoising
Tianxiao Shen · Jonas Mueller · Regina Barzilay · Tommi Jaakkola
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Recht-Re Noncommutative Arithmetic-Geometric Mean Conjecture is False
Zehua Lai · Lek-Heng Lim
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Stochastic Hamiltonian Gradient Methods for Smooth Games
Nicolas Loizou · Hugo Berard · Alexia Jolicoeur-Martineau · Pascal Vincent · Simon Lacoste-Julien · Ioannis Mitliagkas
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Momentum Improves Normalized SGD
Ashok Cutkosky · Harsh Mehta
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Is There a Trade-Off Between Fairness and Accuracy? A Perspective Using Mismatched Hypothesis Testing
Sanghamitra Dutta · Dennis Wei · Hazar Yueksel · Pin-Yu Chen · Sijia Liu · Kush Varshney
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Multi-Objective Molecule Generation using Interpretable Substructures
Wengong Jin · Regina Barzilay · Tommi Jaakkola
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
On Leveraging Pretrained GANs for Generation with Limited Data
Miaoyun Zhao · Yulai Cong · Lawrence Carin
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT) @ Virtual
Clinician-in-the-Loop Decision Making: Reinforcement Learning with Near-Optimal Set-Valued Policies
Shengpu Tang · Aditya Modi · Michael Sjoding · Jenna Wiens
Poster
Thu Jul 16 07:00 AM -- 07:45 AM & Thu Jul 16 06:00 PM -- 06:45 PM (PDT)
Uniform Convergence of Rank-weighted Learning
Justin Khim · Liu Leqi · Adarsh Prasad · Pradeep Ravikumar
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Few-shot Domain Adaptation by Causal Mechanism Transfer
Takeshi Teshima · Issei Sato · Masashi Sugiyama
[ Slides
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Self-PU: Self Boosted and Calibrated Positive-Unlabeled Training
Xuxi Chen · Wuyang Chen · Tianlong Chen · Ye Yuan · Chen Gong · Kewei Chen · Zhangyang “Atlas” Wang
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
On Layer Normalization in the Transformer Architecture
Ruibin Xiong · Yunchang Yang · Di He · Kai Zheng · Shuxin Zheng · Chen Xing · Huishuai Zhang · Yanyan Lan · Liwei Wang · Tie-Yan Liu
Poster
Thu Jul 16 06:00 PM -- 06:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Learning Efficient Multi-agent Communication: An Information Bottleneck Approach
Rundong Wang · Xu He · Runsheng Yu · Wei Qiu · Bo An · Zinovi Rabinovich