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Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning Robot Skills with Temporal Variational Inference
In Poster Session 49
Tanmay Shankar · Abhinav Gupta
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Continuous Graph Neural Networks
In Poster Session 49
Louis-Pascal Xhonneux · Meng Qu · Jian Tang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
GraphOpt: Learning Optimization Models of Graph Formation
In Poster Session 49
Rakshit Trivedi · Jiachen Yang · Hongyuan Zha
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Strategic Classification is Causal Modeling in Disguise
In Poster Session 49
John Miller · Smitha Milli · Moritz Hardt
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Sparse Convex Optimization via Adaptively Regularized Hard Thresholding
In Poster Session 49
Kyriakos Axiotis · Maxim Sviridenko
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Born-again Tree Ensembles
In Poster Session 49
Thibaut Vidal · Maximilian Schiffer
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere
In Poster Session 49
Tongzhou Wang · Phillip Isola
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Piecewise Linear Regression via a Difference of Convex Functions
In Poster Session 49
Ali Siahkamari · Aditya Gangrade · Brian Kulis · Venkatesh Saligrama
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
FACT: A Diagnostic for Group Fairness Trade-offs
In Poster Session 49
Joon Kim · Jiahao Chen · Ameet Talwalkar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Improved Bounds on Minimax Regret under Logarithmic Loss via Self-Concordance
In Poster Session 49
Blair Bilodeau · Dylan Foster · Daniel Roy
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Improving Robustness of Deep-Learning-Based Image Reconstruction
In Poster Session 49
Ankit Raj · Yoram Bresler · Bo Li
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Universal Equivariant Multilayer Perceptrons
In Poster Session 49
Siamak Ravanbakhsh
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Robust Pricing in Dynamic Mechanism Design
In Poster Session 49
Yuan Deng · Sébastien Lahaie · Vahab Mirrokni
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Calibration, Entropy Rates, and Memory in Language Models
In Poster Session 49
Mark Braverman · Xinyi Chen · Sham Kakade · Karthik Narasimhan · Cyril Zhang · Yi Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Adaptive Checkpoint Adjoint Method for Gradient Estimation in Neural ODE
In Poster Session 49
Juntang Zhuang · Nicha Dvornek · Xiaoxiao Li · Sekhar Tatikonda · Xenophon Papademetris · James Duncan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Privately detecting changes in unknown distributions
In Poster Session 49
Rachel Cummings · Sara Krehbiel · Yuliia Lut · Wanrong Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Linear Convergence of Randomized Primal-Dual Coordinate Method for Large-scale Linear Constrained Convex Programming
In Poster Session 49
Daoli Zhu · Lei Zhao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Stochastic Flows and Geometric Optimization on the Orthogonal Group
In Poster Session 49
Krzysztof Choromanski · David Cheikhi · Jared Quincy Davis · Valerii Likhosherstov · Achille Nazaret · Achraf Bahamou · Xingyou Song · Mrugank Akarte · Jack Parker-Holder · Jacob Bergquist · Yuan Gao · Aldo Pacchiano · Tamas Sarlos · Adrian Weller · Vikas Sindhwani
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Enhancing Simple Models by Exploiting What They Already Know
In Poster Session 49
Amit Dhurandhar · Karthikeyan Shanmugam · Ronny Luss
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Active Learning on Attributed Graphs via Graph Cognizant Logistic Regression and Preemptive Query Generation
In Poster Session 49
Florence Regol · Soumyasundar Pal · Yingxue Zhang · Mark Coates
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Almost Tune-Free Variance Reduction
In Poster Session 49
Bingcong Li · Lingda Wang · Georgios B. Giannakis
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
New Oracle-Efficient Algorithms for Private Synthetic Data Release
In Poster Session 49
Giuseppe Vietri · Grace Tian · Mark Bun · Thomas Steinke · Steven Wu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Scalable Differentiable Physics for Learning and Control
In Poster Session 49
Yi-Ling Qiao · Junbang Liang · Vladlen Koltun · Ming Lin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Constrained Markov Decision Processes via Backward Value Functions
In Poster Session 49
Harsh Satija · Philip Amortila · Joelle Pineau
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
History-Gradient Aided Batch Size Adaptation for Variance Reduced Algorithms
In Poster Session 49
Kaiyi Ji · Zhe Wang · Bowen Weng · Yi Zhou · Wei Zhang · Yingbin LIANG
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Invariant Rationalization
In Poster Session 49
Shiyu Chang · Yang Zhang · Mo Yu · Tommi Jaakkola
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Maximum Entropy Gain Exploration for Long Horizon Multi-goal Reinforcement Learning
In Poster Session 49
Silviu Pitis · Harris Chan · Stephen Zhao · Bradly Stadie · Jimmy Ba
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
On the Expressivity of Neural Networks for Deep Reinforcement Learning
In Poster Session 49
Kefan Dong · Yuping Luo · Tianhe (Kevin) Yu · Chelsea Finn · Tengyu Ma
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Fiedler Regularization: Learning Neural Networks with Graph Sparsity
In Poster Session 49
Edric Tam · David Dunson
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Reward-Free Exploration for Reinforcement Learning
In Poster Session 49
Chi Jin · Akshay Krishnamurthy · Max Simchowitz · Tiancheng Yu
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Low-Rank Bottleneck in Multi-head Attention Models
In Poster Session 49
Srinadh Bhojanapalli · Chulhee Yun · Ankit Singh Rawat · Sashank Jakkam Reddi · Sanjiv Kumar
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Upper bounds for Model-Free Row-Sparse Principal Component Analysis
In Poster Session 49
Guanyi Wang · Santanu Dey
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
p-Norm Flow Diffusion for Local Graph Clustering
In Poster Session 49
Kimon Fountoulakis · Di Wang · Shenghao Yang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
CLUB: A Contrastive Log-ratio Upper Bound of Mutual Information
In Poster Session 49
Pengyu Cheng · Weituo Hao · Shuyang Dai · Jiachang Liu · Zhe Gan · Lawrence Carin
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
From ImageNet to Image Classification: Contextualizing Progress on Benchmarks
In Poster Session 49
Dimitris Tsipras · Shibani Santurkar · Logan Engstrom · Andrew Ilyas · Aleksander Madry
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Error-Bounded Correction of Noisy Labels
In Poster Session 49
Songzhu Zheng · Pengxiang Wu · Aman Goswami · Mayank Goswami · Dimitris Metaxas · Chao Chen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
A Flexible Framework for Nonparametric Graphical Modeling that Accommodates Machine Learning
In Poster Session 49
Yunhua Xiang · Noah Simon
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Learning the Valuations of a $k$-demand Agent
In Poster Session 49
Hanrui Zhang · Vincent Conitzer
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Graph Homomorphism Convolution
In Poster Session 49
Hoang NT · Takanori Maehara
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Estimating Q(s,s') with Deep Deterministic Dynamics Gradients
In Poster Session 49
Ashley Edwards · Himanshu Sahni · Rosanne Liu · Jane Hung · Ankit Jain · Rui Wang · Adrien Ecoffet · Thomas Miconi · Charles Isbell · Jason Yosinski
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
BINOCULARS for efficient, nonmyopic sequential experimental design
In Poster Session 49
Shali Jiang · Henry Chai · Javier Gonzalez · Roman Garnett
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Empirical Study of the Benefits of Overparameterization in Learning Latent Variable Models
In Poster Session 49
Rares-Darius Buhai · Yoni Halpern · Yoon Kim · Andrej Risteski · David Sontag
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Learning with Bounded Instance- and Label-dependent Label Noise
In Poster Session 49
Jiacheng Cheng · Tongliang Liu · Kotagiri Ramamohanarao · Dacheng Tao
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Transparency Promotion with Model-Agnostic Linear Competitors
In Poster Session 49
Hassan Rafique · Tong Wang · Qihang Lin · Arshia Singhani
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Latent Variable Modelling with Hyperbolic Normalizing Flows
In Poster Session 49
Joey Bose · Ariella Smofsky · Renjie Liao · Prakash Panangaden · Will Hamilton
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
How to Train Your Neural ODE: the World of Jacobian and Kinetic Regularization
In Poster Session 49
Chris Finlay · Joern-Henrik Jacobsen · Levon Nurbekyan · Adam Oberman
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Estimation of Bounds on Potential Outcomes For Decision Making
In Poster Session 49
Maggie Makar · Fredrik Johansson · John Guttag · David Sontag
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Rigging the Lottery: Making All Tickets Winners
In Poster Session 49
Utku Evci · Trevor Gale · Jacob Menick · Pablo Samuel Castro · Erich Elsen
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Minimax-Optimal Off-Policy Evaluation with Linear Function Approximation
In Poster Session 49
Yaqi Duan · Zeyu Jia · Mengdi Wang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
A Pairwise Fair and Community-preserving Approach to k-Center Clustering
In Poster Session 49
Brian Brubach · Darshan Chakrabarti · John P Dickerson · Samir Khuller · Aravind Srinivasan · Leonidas Tsepenekas
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Black-Box Variational Inference as a Parametric Approximation to Langevin Dynamics
In Poster Session 49
Matthew Hoffman · Yian Ma
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Multi-Agent Routing Value Iteration Network
In Poster Session 49
Quinlan Sykora · Mengye Ren · Raquel Urtasun
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Interpreting Robust Optimization via Adversarial Influence Functions
In Poster Session 49
Zhun Deng · Cynthia Dwork · Jialiang Wang · Linjun Zhang
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT) @ Virtual
Learning Selection Strategies in Buchberger’s Algorithm
In Poster Session 49
Dylan Peifer · Michael Stillman · Daniel Halpern-Leistner
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Neural Datalog Through Time: Informed Temporal Modeling via Logical Specification
In Poster Session 49
Hongyuan Mei · Guanghui Qin · Minjie Xu · Jason Eisner
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Optimizing Dynamic Structures with Bayesian Generative Search
In Poster Session 49
Minh Hoang · Carleton Kingsford
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Skew-Fit: State-Covering Self-Supervised Reinforcement Learning
In Poster Session 49
Vitchyr Pong · Murtaza Dalal · Steven Lin · Ashvin Nair · Shikhar Bahl · Sergey Levine
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Spectrum Dependent Learning Curves in Kernel Regression and Wide Neural Networks
In Poster Session 49
Blake Bordelon · Abdulkadir Canatar · Cengiz Pehlevan
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Concise Explanations of Neural Networks using Adversarial Training
In Poster Session 49
Prasad Chalasani · Jiefeng Chen · Amrita Roy Chowdhury · Xi Wu · Somesh Jha
Poster
Thu Jul 16 06:00 AM -- 06:45 AM & Thu Jul 16 05:00 PM -- 05:45 PM (PDT)
Online Learning with Dependent Stochastic Feedback Graphs
In Poster Session 49
Corinna Cortes · Giulia DeSalvo · Claudio Gentile · Mehryar Mohri · Ningshan Zhang
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Dual-Path Distillation: A Unified Framework to Improve Black-Box Attacks
In Poster Session 49
Yonggang Zhang · Ya Li · Tongliang Liu · Xinmei Tian
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
On the Power of Compressed Sensing with Generative Models
In Poster Session 49
Akshay Kamath · Eric Price · Sushrut Karmalkar
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Do We Need Zero Training Loss After Achieving Zero Training Error?
In Poster Session 49
Takashi Ishida · Ikko Yamane · Tomoya Sakai · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Transformer Hawkes Process
In Poster Session 49
Simiao Zuo · Haoming Jiang · Zichong Li · Tuo Zhao · Hongyuan Zha
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Projection-free Distributed Online Convex Optimization with $O(\sqrt{T})$ Communication Complexity
In Poster Session 49
Yuanyu Wan · Wei-Wei Tu · Lijun Zhang
[ Slides] 
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Cost-effectively Identifying Causal Effects When Only Response Variable is Observable
In Poster Session 49
Tian-Zuo Wang · Xi-Zhu Wu · Sheng-Jun Huang · Zhi-Hua Zhou
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Sparse Subspace Clustering with Entropy-Norm
In Poster Session 49
Liang Bai · Jiye Liang
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Does the Markov Decision Process Fit the Data: Testing for the Markov Property in Sequential Decision Making
In Poster Session 49
Chengchun Shi · Runzhe Wan · Rui Song · Wenbin Lu · Ling Leng
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
More Information Supervised Probabilistic Deep Face Embedding Learning
In Poster Session 49
Ying Huang · Shangfeng Qiu · Wenwei Zhang · Xianghui Luo · Jinzhuo Wang
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Minimax Weight and Q-Function Learning for Off-Policy Evaluation
In Poster Session 49
Masatoshi Uehara · Jiawei Huang · Nan Jiang
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Learning Autoencoders with Relational Regularization
In Poster Session 49
Hongteng Xu · Dixin Luo · Ricardo Henao · Svati Shah · Lawrence Carin
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Multi-objective Bayesian Optimization using Pareto-frontier Entropy
In Poster Session 49
Shinya Suzuki · Shion Takeno · Tomoyuki Tamura · Kazuki Shitara · Masayuki Karasuyama
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT) @ Virtual
Representation Learning via Adversarially-Contrastive Optimal Transport
In Poster Session 49
Anoop Cherian · Shuchin Aeron
[ Slides] 
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
DropNet: Reducing Neural Network Complexity via Iterative Pruning
In Poster Session 49
Chong Min John Tan · Mehul Motani
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Puzzle Mix: Exploiting Saliency and Local Statistics for Optimal Mixup
In Poster Session 49
Jang-Hyun Kim · Wonho Choo · Hyun Oh Song
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
A Graph to Graphs Framework for Retrosynthesis Prediction
In Poster Session 49
Chence Shi · Minkai Xu · Hongyu Guo · Ming Zhang · Jian Tang
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Non-autoregressive Machine Translation with Disentangled Context Transformer
In Poster Session 49
Jungo Kasai · James Cross · Marjan Ghazvininejad · Jiatao Gu
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Sample Complexity Bounds for 1-bit Compressive Sensing and Binary Stable Embeddings with Generative Priors
In Poster Session 49
Zhaoqiang Liu · Selwyn Gomes · Avtansh Tiwari · Jonathan Scarlett
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Self-Attentive Associative Memory
In Poster Session 49
Hung Le · Truyen Tran · Svetha Venkatesh
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
A Tree-Structured Decoder for Image-to-Markup Generation
In Poster Session 49
Jianshu Zhang · Jun Du · Yongxin Yang · Yi-Zhe Song · Si Wei · Lirong Dai
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
Multinomial Logit Bandit with Low Switching Cost
In Poster Session 49
Kefan Dong · Yingkai Li · Qin Zhang · Yuan Zhou
Poster
Thu Jul 16 05:00 PM -- 05:45 PM & Fri Jul 17 04:00 AM -- 04:45 AM (PDT)
On the (In)tractability of Computing Normalizing Constants for the Product of Determinantal Point Processes
In Poster Session 49
Naoto Ohsaka · Tatsuya Matsuoka