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Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SigGPDE: Scaling Sparse Gaussian Processes on Sequential Data
Maud Lemercier · Cristopher Salvi · Thomas Cass · Edwin V Bonilla · Theodoros Damoulas · Terry Lyons
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
DeepReDuce: ReLU Reduction for Fast Private Inference
Nandan Kumar Jha · Zahra Ghodsi · Siddharth Garg · Brandon Reagen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Testing: Sample-Efficient Model Evaluation
Jannik Kossen · Sebastian Farquhar · Yarin Gal · Tom Rainforth
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Active Covering
Heinrich Jiang · Afshin Rostamizadeh
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
First-Order Methods for Wasserstein Distributionally Robust MDP
Julien Grand-Clement · Christian Kroer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sparse Bayesian Learning via Stepwise Regression
Sebastian Ament · Carla Gomes
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Linear Transformers Are Secretly Fast Weight Programmers
Imanol Schlag · Kazuki Irie · Jürgen Schmidhuber
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Robust Representation Learning via Perceptual Similarity Metrics
Saeid A Taghanaki · Kristy Choi · Amir Hosein Khasahmadi · Anirudh Goyal
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Pointwise Binary Classification with Pairwise Confidence Comparisons
Lei Feng · Senlin Shu · Nan Lu · Bo Han · Miao Xu · Gang Niu · Bo An · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Hierarchical Clustering of Data Streams: Scalable Algorithms and Approximation Guarantees
Anand Rajagopalan · Fabio Vitale · Danny Vainstein · Gui Citovsky · Cecilia Procopiuc · Claudio Gentile
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Quantum algorithms for reinforcement learning with a generative model
Daochen Wang · Aarthi Sundaram · Robin Kothari · Ashish Kapoor · Martin Roetteler
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Binary Decision Trees by Argmin Differentiation
Valentina Zantedeschi · Matt J. Kusner · Vlad Niculae
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Implicit Bias of Linear RNNs
Melikasadat Emami · Mojtaba Sahraee-Ardakan · Parthe Pandit · Sundeep Rangan · Alyson Fletcher
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Private Alternating Least Squares: Practical Private Matrix Completion with Tighter Rates
Steve Chien · Prateek Jain · Walid Krichene · Steffen Rendle · Shuang Song · Abhradeep Guha Thakurta · Li Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Representations by Humans, for Humans
Sophie Hilgard · Nir Rosenfeld · Mahzarin Banaji · Jack Cao · David Parkes
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Variational Auto-Regressive Gaussian Processes for Continual Learning
Sanyam Kapoor · Theofanis Karaletsos · Thang Bui
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Class2Simi: A Noise Reduction Perspective on Learning with Noisy Labels
Songhua Wu · Xiaobo Xia · Tongliang Liu · Bo Han · Mingming Gong · Nannan Wang · Haifeng Liu · Gang Niu
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
A Gradient Based Strategy for Hamiltonian Monte Carlo Hyperparameter Optimization
Andrew Campbell · Wenlong Chen · Vincent Stimper · Jose Miguel Hernandez-Lobato · Yichuan Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
On Signal-to-Noise Ratio Issues in Variational Inference for Deep Gaussian Processes
Tim G. J. Rudner · Oscar Key · Yarin Gal · Tom Rainforth
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Whitening for Self-Supervised Representation Learning
Aleksandr Ermolov · Aliaksandr Siarohin · Enver Sangineto · Nicu Sebe
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Unified Robust Semi-Supervised Variational Autoencoder
Xu Chen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Finite mixture models do not reliably learn the number of components
Diana Cai · Trevor Campbell · Tamara Broderick
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Defense against backdoor attacks via robust covariance estimation
Jonathan Hayase · Weihao Kong · Raghav Somani · Sewoong Oh
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
A Discriminative Technique for Multiple-Source Adaptation
Corinna Cortes · Mehryar Mohri · Ananda Theertha Suresh · Ningshan Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adapting to Delays and Data in Adversarial Multi-Armed Bandits
András György · Pooria Joulani
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning to Generate Noise for Multi-Attack Robustness
Divyam Madaan · Jinwoo Shin · Sung Ju Hwang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Confidence Scores Make Instance-dependent Label-noise Learning Possible
Antonin Berthon · Bo Han · Gang Niu · Tongliang Liu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GANMEX: One-vs-One Attributions using GAN-based Model Explainability
Sheng-Min Shih · Pin-Ju Tien · Zohar Karnin
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Optimization Planning for 3D ConvNets
Zhaofan Qiu · Ting Yao · Chong-Wah Ngo · Tao Mei
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parallel Droplet Control in MEDA Biochips using Multi-Agent Reinforcement Learning
Tung-Che Liang · Jin Zhou · Yun-Sheng Chan · Tsung-Yi Ho · Krishnendu Chakrabarty · Cy Lee
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Binary Classification from Multiple Unlabeled Datasets via Surrogate Set Classification
Nan Lu · Shida Lei · Gang Niu · Issei Sato · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Dataset Condensation with Differentiable Siamese Augmentation
Bo Zhao · Hakan Bilen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Online Limited Memory Neural-Linear Bandits with Likelihood Matching
Ofir Nabati · Tom Zahavy · Shie Mannor
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Whittle Networks: A Deep Likelihood Model for Time Series
Zhongjie Yu · Fabrizio Ventola · Kristian Kersting
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach
Federico Lopez · Beatrice Pozzetti · Steve Trettel · Michael Strube · Anna Wienhard
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Beyond the Pareto Efficient Frontier: Constraint Active Search for Multiobjective Experimental Design
Gustavo Malkomes · Bolong Cheng · Eric Lee · Michael McCourt
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning a Universal Template for Few-shot Dataset Generalization
Eleni Triantafillou · Hugo Larochelle · Richard Zemel · Vincent Dumoulin
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Geometric convergence of elliptical slice sampling
Viacheslav Natarovskii · Daniel Rudolf · Björn Sprungk
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design
Adam Foster · Desi Ivanova · ILYAS MALIK · Tom Rainforth
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Delving into Deep Imbalanced Regression
Yuzhe Yang · Kaiwen Zha · YINGCONG CHEN · Hao Wang · Dina Katabi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Revisiting Point Cloud Shape Classification with a Simple and Effective Baseline
Ankit Goyal · Hei Law · Bowei Liu · Alejandro Newell · Jia Deng
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning
Yann Fraboni · Richard Vidal · Laetitia Kameni · Marco Lorenzi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
HAWQ-V3: Dyadic Neural Network Quantization
Zhewei Yao · Zhen Dong · Zhangcheng Zheng · Amir Gholaminejad · Jiali Yu · Eric Tan · Leyuan Wang · Qijing Huang · Yida Wang · Michael Mahoney · EECS Kurt Keutzer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Uniform Convergence, Adversarial Spheres and a Simple Remedy
Gregor Bachmann · Seyed Moosavi · Thomas Hofmann
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Neural Transformation Learning for Deep Anomaly Detection Beyond Images
Chen Qiu · Timo Pfrommer · Marius Kloft · Stephan Mandt · Maja Rudolph
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Randomized Dimensionality Reduction for Facility Location and Single-Linkage Clustering
Shyam Narayanan · Sandeep Silwal · Piotr Indyk · Or Zamir
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision
Chao Jia · Yinfei Yang · Ye Xia · Yi-Ting Chen · Zarana Parekh · Hieu Pham · Quoc Le · Yun-Hsuan Sung · Zhen Li · Tom Duerig
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Differentially Private Quantiles
Jennifer Gillenwater · Matthew Joseph · Alex Kulesza
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Self-Damaging Contrastive Learning
Ziyu Jiang · Tianlong Chen · Bobak Mortazavi · Zhangyang Wang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
RNNRepair: Automatic RNN Repair via Model-based Analysis
Xiaofei Xie · Wenbo Guo · Lei Ma · Wei Le · Jian Wang · Lingjun Zhou · Yang Liu · Xinyu Xing
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
TFix: Learning to Fix Coding Errors with a Text-to-Text Transformer
Berkay Berabi · Jingxuan He · Veselin Raychev · Martin Vechev
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Aggregating From Multiple Target-Shifted Sources
Changjian Shui · Zijian Li · Jiaqi Li · Christian Gagne · Charles X. Ling · Boyu Wang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
f-Domain Adversarial Learning: Theory and Algorithms
David Acuna · Guojun Zhang · Marc Law · Sanja Fidler
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
DAGs with No Curl: An Efficient DAG Structure Learning Approach
Yue Yu · Tian Gao · Naiyu Yin · Qiang Ji
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Analyzing the tree-layer structure of Deep Forests
Ludovic Arnould · Claire Boyer · Erwan Scornet
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Enhancing Robustness of Neural Networks through Fourier Stabilization
Netanel Raviv · Aidan Kelley · Minzhe Guo · Yevgeniy Vorobeychik
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
A Collective Learning Framework to Boost GNN Expressiveness for Node Classification
Mengyue Hang · Jennifer Neville · Bruno Ribeiro
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Dash: Semi-Supervised Learning with Dynamic Thresholding
Yi Xu · Lei Shang · Jinxing Ye · Qi Qian · Yufeng Li · Baigui Sun · Hao Li · rong jin
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adversarial Purification with Score-based Generative Models
Jongmin Yoon · Sung Ju Hwang · Juho Lee
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Fairness for Image Generation with Uncertain Sensitive Attributes
Ajil Jalal · Sushrut Karmalkar · Jessica Hoffmann · Alexandros Dimakis · Eric Price
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tilting the playing field: Dynamical loss functions for machine learning
Miguel Ruiz Garcia · Ge Zhang · Samuel Schoenholz · Andrea Liu
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Rissanen Data Analysis: Examining Dataset Characteristics via Description Length
Ethan Perez · Douwe Kiela · Kyunghyun Cho
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Memory-Efficient Pipeline-Parallel DNN Training
Deepak Narayanan · Amar Phanishayee · Kaiyu Shi · Xie Chen · Matei Zaharia
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Differentiable Dynamic Quantization with Mixed Precision and Adaptive Resolution
zhaoyang zhang · Wenqi Shao · Jinwei Gu · Xiaogang Wang · Ping Luo
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Improved, Deterministic Smoothing for L_1 Certified Robustness
Alexander Levine · Soheil Feizi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Wasserstein Distributional Normalization For Robust Distributional Certification of Noisy Labeled Data
Sung Woo Park · Junseok Kwon
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SketchEmbedNet: Learning Novel Concepts by Imitating Drawings
Alexander Wang · Mengye Ren · Richard Zemel
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Towards Practical Mean Bounds for Small Samples
My Phan · Philip Thomas · Erik Learned-Miller
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Few-Shot Conformal Prediction with Auxiliary Tasks
Adam Fisch · Tal Schuster · Tommi Jaakkola · Regina Barzilay
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentially Private Correlation Clustering
Mark Bun · Marek Elias · Janardhan Kulkarni
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Byzantine-Resilient High-Dimensional SGD with Local Iterations on Heterogeneous Data
Deepesh Data · Suhas Diggavi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Mediated Uncoupled Learning: Learning Functions without Direct Input-output Correspondences
Ikko Yamane · Junya Honda · Florian YGER · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Off-Policy Confidence Sequences
Nikos Karampatziakis · Paul Mineiro · Aaditya Ramdas
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Domain Generalization using Causal Matching
Divyat Mahajan · Shruti Tople · Amit Sharma
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GRAND: Graph Neural Diffusion
Ben Chamberlain · James Rowbottom · Maria Gorinova · Michael Bronstein · Stefan Webb · Emanuele Rossi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PHEW : Constructing Sparse Networks that Learn Fast and Generalize Well without Training Data
Shreyas Malakarjun Patil · Constantine Dovrolis
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Conservative Objective Models for Effective Offline Model-Based Optimization
Brandon Trabucco · Aviral Kumar · Xinyang Geng · Sergey Levine
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Non-Negative Bregman Divergence Minimization for Deep Direct Density Ratio Estimation
Masahiro Kato · Takeshi Teshima
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentially-Private Clustering of Easy Instances
Edith Cohen · Haim Kaplan · Yishay Mansour · Uri Stemmer · Eliad Tsfadia
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
To be Robust or to be Fair: Towards Fairness in Adversarial Training
Han Xu · Xiaorui Liu · Yaxin Li · Anil Jain · Jiliang Tang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment
Michael Chang · Sid Kaushik · Sergey Levine · Thomas Griffiths
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adaptive Sampling for Best Policy Identification in Markov Decision Processes
Aymen Al Marjani · Alexandre Proutiere
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Flow-based Attribution in Graphical Models: A Recursive Shapley Approach
Raghav Singal · George Michailidis · Hoiyi Ng
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Detecting Rewards Deterioration in Episodic Reinforcement Learning
Ido Greenberg · Shie Mannor
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
Jonas Rothfuss · Vincent Fortuin · Martin Josifoski · Andreas Krause
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Correlation Clustering with Asymmetric Classification Errors
Jafar Jafarov · Sanchit Kalhan · Konstantin Makarychev · Yury Makarychev
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Active Learning of Continuous-time Bayesian Networks through Interventions
Dominik Linzner · Heinz Koeppl
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Local Algorithms for Finding Densely Connected Clusters
Peter Macgregor · He Sun
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Contrastive Learning Automated
Yuning You · Tianlong Chen · Yang Shen · Zhangyang Wang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Implicit Regularization in Tensor Factorization
Noam Razin · Asaf Maman · Nadav Cohen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Efficient Training of Robust Decision Trees Against Adversarial Examples
Daniël Vos · Sicco Verwer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
CARTL: Cooperative Adversarially-Robust Transfer Learning
Dian Chen · Hongxin Hu · Qian Wang · Li Yinli · Cong Wang · Chao Shen · Qi Li
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
PAPRIKA: Private Online False Discovery Rate Control
Wanrong Zhang · Gautam Kamath · Rachel Cummings
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
SparseBERT: Rethinking the Importance Analysis in Self-attention
Han Shi · Jiahui Gao · Xiaozhe Ren · Hang Xu · Xiaodan Liang · Zhenguo Li · James Kwok
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Putting the ``Learning" into Learning-Augmented Algorithms for Frequency Estimation
Elbert Du · Franklyn Wang · Michael Mitzenmacher
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Modeling Hierarchical Structures with Continuous Recursive Neural Networks
Jishnu Ray Chowdhury · Cornelia Caragea
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Strategic Classification in the Dark
Ganesh Ghalme · Vineet Nair · Itay Eilat · Inbal Talgam-Cohen · Nir Rosenfeld
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Lower Bounds on Cross-Entropy Loss in the Presence of Test-time Adversaries
Arjun Nitin Bhagoji · Daniel Cullina · Vikash Sehwag · Prateek Mittal
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
BasisDeVAE: Interpretable Simultaneous Dimensionality Reduction and Feature-Level Clustering with Derivative-Based Variational Autoencoders
Dominic Danks · Christopher Yau
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Characterizing Fairness Over the Set of Good Models Under Selective Labels
Amanda Coston · Ashesh Rambachan · Alexandra Chouldechova
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Temporal Difference Learning as Gradient Splitting
Rui Liu · Alex Olshevsky
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Scalable Certified Segmentation via Randomized Smoothing
Marc Fischer · Maximilian Baader · Martin Vechev
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Addressing Catastrophic Forgetting in Few-Shot Problems
Pauching Yap · Hippolyt Ritter · David Barber
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Directed Graph Embeddings in Pseudo-Riemannian Manifolds
Aaron Sim · Maciej Wiatrak · Angus Brayne · Páidí Creed · Saee Paliwal
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Neural Feature Matching in Implicit 3D Representations
Yunlu Chen · Basura Fernando · Hakan Bilen · Thomas Mensink · Efstratios Gavves
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Near-Optimal Algorithms for Explainable k-Medians and k-Means
Konstantin Makarychev · Liren Shan
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Matrix Completion with Model-free Weighting
Jiayi Wang · Raymond K. W. Wong · Xiaojun Mao · Kwun Chuen Gary Chan
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients
Artem Artemev · David Burt · Mark van der Wilk
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
In-Database Regression in Input Sparsity Time
Rajesh Jayaram · Alireza Samadian · David Woodruff · Peng Ye
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Sharing Less is More: Lifelong Learning in Deep Networks with Selective Layer Transfer
Seungwon Lee · Sima Behpour · Eric Eaton
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Knowledge Enhanced Machine Learning Pipeline against Diverse Adversarial Attacks
Nezihe Merve Gürel · Xiangyu Qi · Luka Rimanic · Ce Zhang · Bo Li
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Barlow Twins: Self-Supervised Learning via Redundancy Reduction
Jure Zbontar · Li Jing · Ishan Misra · yann lecun · Stephane Deny
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Bayesian Algorithm Execution: Estimating Computable Properties of Black-box Functions Using Mutual Information
Willie Neiswanger · Ke Alexander Wang · Stefano Ermon
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Adversarial Robustness Guarantees for Random Deep Neural Networks
Giacomo De Palma · Bobak T Kiani · Seth Lloyd
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Accuracy, Interpretability, and Differential Privacy via Explainable Boosting
Harsha Nori · Rich Caruana · Zhiqi Bu · Judy Hanwen Shen · Janardhan Kulkarni
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
DG-LMC: A Turn-key and Scalable Synchronous Distributed MCMC Algorithm via Langevin Monte Carlo within Gibbs
Vincent Plassier · Maxime Vono · Alain Durmus · Eric Moulines
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Skew Orthogonal Convolutions
Sahil Singla · Soheil Feizi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Quantifying the Benefit of Using Differentiable Learning over Tangent Kernels
Eran Malach · Pritish Kamath · Emmanuel Abbe · Nati Srebro
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Training Adversarially Robust Sparse Networks via Bayesian Connectivity Sampling
Ozan Özdenizci · Robert Legenstein
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
EL-Attention: Memory Efficient Lossless Attention for Generation
Yu Yan · Jiusheng Chen · Weizhen Qi · Nikhil Bhendawade · Yeyun Gong · Nan Duan · Ruofei Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Predict then Interpolate: A Simple Algorithm to Learn Stable Classifiers
Yujia Bao · Shiyu Chang · Regina Barzilay
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Differentially Private Query Release Through Adaptive Projection
Sergul Aydore · William Brown · Michael Kearns · Krishnaram Kenthapadi · Luca Melis · Aaron Roth · Ankit Siva
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the Power of Localized Perceptron for Label-Optimal Learning of Halfspaces with Adversarial Noise
Jie Shen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sinkhorn Label Allocation: Semi-Supervised Classification via Annealed Self-Training
Kai Sheng Tai · Peter Bailis · Gregory Valiant
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models
Chaoyang He · Shen Li · Mahdi Soltanolkotabi · Salman Avestimehr
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the Convergence of Hamiltonian Monte Carlo with Stochastic Gradients
Difan Zou · Quanquan Gu
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Training data-efficient image transformers & distillation through attention
Hugo Touvron · Matthieu Cord · Douze Matthijs · Francisco Massa · Alexandre Sablayrolles · Herve Jegou
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Oblivious Sketching for Logistic Regression
Alexander Munteanu · Simon Omlor · David Woodruff
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Directional Bias Amplification
Angelina Wang · Olga Russakovsky
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
I-BERT: Integer-only BERT Quantization
Sehoon Kim · Amir Gholaminejad · Zhewei Yao · Michael Mahoney · EECS Kurt Keutzer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On Disentangled Representations Learned from Correlated Data
Frederik Träuble · Elliot Creager · Niki Kilbertus · Francesco Locatello · Andrea Dittadi · Anirudh Goyal · Bernhard Schölkopf · Stefan Bauer
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Systematic Analysis of Cluster Similarity Indices: How to Validate Validation Measures
Martijn Gösgens · Aleksei Tikhonov · Liudmila Prokhorenkova
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Fair Selective Classification Via Sufficiency
Joshua Lee · Yuheng Bu · Deepta Rajan · Prasanna Sattigeri · Rameswar Panda · Subhro Das · Gregory Wornell
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Expressive 1-Lipschitz Neural Networks for Robust Multiple Graph Learning against Adversarial Attacks
Xin Zhao · Zeru Zhang · Zijie Zhang · Lingfei Wu · Jiayin Jin · Yang Zhou · Ruoming Jin · Dejing Dou · Da Yan
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Posterior Value Functions: Hindsight Baselines for Policy Gradient Methods
Chris Nota · Philip Thomas · Bruno C. da Silva
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nonmyopic Multifidelity Acitve Search
Quan Nguyen · Arghavan Modiri · Roman Garnett
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parallel tempering on optimized paths
Saifuddin Syed · Vittorio Romaniello · Trevor Campbell · Alexandre Bouchard-Côté
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning to Rehearse in Long Sequence Memorization
Zhu Zhang · Chang Zhou · Jianxin Ma · Zhijie Lin · Jingren Zhou · Hongxia Yang · Zhou Zhao
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Personalized Federated Learning using Hypernetworks
Aviv Shamsian · Aviv Navon · Ethan Fetaya · Gal Chechik
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Scalable Variational Gaussian Processes via Harmonic Kernel Decomposition
Shengyang Sun · Jiaxin Shi · Andrew Wilson · Roger Grosse
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Isometric Gaussian Process Latent Variable Model for Dissimilarity Data
Martin Jørgensen · Søren Hauberg
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Markpainting: Adversarial Machine Learning meets Inpainting
David G Khachaturov · Ilia Shumailov · Yiren Zhao · Nicolas Papernot · Ross Anderson
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Unsupervised Co-part Segmentation through Assembly
Qingzhe Gao · Bin Wang · Libin Liu · Baoquan Chen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Exact Optimization of Conformal Predictors via Incremental and Decremental Learning
Giovanni Cherubin · Konstantinos Chatzikokolakis · Martin Jaggi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Principal Bit Analysis: Autoencoding with Schur-Concave Loss
Sourbh Bhadane · Aaron Wagner · Jayadev Acharya
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Transfer-Based Semantic Anomaly Detection
Lucas Deecke · Lukas Ruff · Robert Vandermeulen · Hakan Bilen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Coded-InvNet for Resilient Prediction Serving Systems
Tuan Dinh · Kangwook Lee
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Evaluating the Implicit Midpoint Integrator for Riemannian Hamiltonian Monte Carlo
James Brofos · Roy Lederman
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Streaming Bayesian Deep Tensor Factorization
Shikai Fang · Zheng Wang · Zhimeng Pan · Ji Liu · Shandian Zhe
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Decoupling Representation Learning from Reinforcement Learning
Adam Stooke · Kimin Lee · Pieter Abbeel · Michael Laskin
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Inference for Network Regression Models with Community Structure
Mengjie Pan · Tyler Mccormick · Bailey Fosdick
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nondeterminism and Instability in Neural Network Optimization
Cecilia Summers · Michael J Dinneen
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning disentangled representations via product manifold projection
Marco Fumero · Luca Cosmo · Simone Melzi · Emanuele Rodola
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Query Complexity of Adversarial Attacks
Grzegorz Gluch · Rüdiger Urbanke
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Disambiguation of Weak Supervision leading to Exponential Convergence rates
Vivien Cabannnes · Francis Bach · Alessandro Rudi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Fairness of Exposure in Stochastic Bandits
Lequn Wang · Yiwei Bai · Wen Sun · Thorsten Joachims
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Phase Transitions, Distance Functions, and Implicit Neural Representations
Yaron Lipman
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Environment Inference for Invariant Learning
Elliot Creager · Joern-Henrik Jacobsen · Richard Zemel
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning from Similarity-Confidence Data
Yuzhou Cao · Lei Feng · Yitian Xu · Bo An · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On the difficulty of unbiased alpha divergence minimization
Tomas Geffner · Justin Domke
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Robust Learning-Augmented Caching: An Experimental Study
Jakub Chłędowski · Adam Polak · Bartosz Szabucki · Konrad Zolna
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Parameterless Transductive Feature Re-representation for Few-Shot Learning
Wentao Cui · Yuhong Guo
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
CLOCS: Contrastive Learning of Cardiac Signals Across Space, Time, and Patients
Dani Kiyasseh · Tingting Zhu · David Clifton
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
SGLB: Stochastic Gradient Langevin Boosting
Aleksei Ustimenko · Liudmila Prokhorenkova
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech
Vadim Popov · Ivan Vovk · Vladimir Gogoryan · Tasnima Sadekova · Mikhail Kudinov
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Robust Testing and Estimation under Manipulation Attacks
Jayadev Acharya · Ziteng Sun · Huanyu Zhang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Memory Efficient Online Meta Learning
Durmus Alp Emre Acar · Ruizhao Zhu · Venkatesh Saligrama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Bayesian Attention Belief Networks
Shujian Zhang · Xinjie Fan · Bo Chen · Mingyuan Zhou
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability
Mihaela Curmei · Sarah Dean · Benjamin Recht
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
GeomCA: Geometric Evaluation of Data Representations
Petra Poklukar · Anastasiia Varava · Danica Kragic
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sparse within Sparse Gaussian Processes using Neighbor Information
Gia-Lac Tran · Dimitrios Milios · Pietro Michiardi · Maurizio Filippone
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Nonparametric Decomposition of Sparse Tensors
Conor Tillinghast · Shandian Zhe
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Feature Clustering for Support Identification in Extreme Regions
Hamid Jalalzai · Rémi Leluc
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Bayesian Quadrature on Riemannian Data Manifolds
Christian Fröhlich · Alexandra Gessner · Philipp Hennig · Bernhard Schölkopf · Georgios Arvanitidis
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Label-Only Membership Inference Attacks
Christopher Choquette-Choo · Florian Tramer · Nicholas Carlini · Nicolas Papernot
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Representation Subspace Distance for Domain Adaptation Regression
Xinyang Chen · Sinan Wang · Jianmin Wang · Mingsheng Long
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Mixed Nash Equilibria in the Adversarial Examples Game
Laurent Meunier · Meyer Scetbon · Rafael Pinot · Jamal Atif · Yann Chevaleyre
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
A Scalable Second Order Method for Ill-Conditioned Matrix Completion from Few Samples
Christian Kümmerle · Claudio Mayrink Verdun
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
GNNAutoScale: Scalable and Expressive Graph Neural Networks via Historical Embeddings
Matthias Fey · Jan Eric Lenssen · Frank Weichert · Jure Leskovec
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Differentiable Particle Filtering via Entropy-Regularized Optimal Transport
Adrien Corenflos · James Thornton · George Deligiannidis · Arnaud Doucet
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Privacy-Preserving Video Classification with Convolutional Neural Networks
Sikha Pentyala · Rafael Dowsley · Martine De Cock
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Learning Noise Transition Matrix from Only Noisy Labels via Total Variation Regularization
Yivan Zhang · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Annealed Flow Transport Monte Carlo
Michael Arbel · Alexander Matthews · Arnaud Doucet
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Locally Private k-Means in One Round
Alisa Chang · Badih Ghazi · Ravi Kumar · Pasin Manurangsi
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Learning Interaction Kernels for Agent Systems on Riemannian Manifolds
Mauro Maggioni · Jason Miller · Hongda Qiu · Ming Zhong
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Matrix Sketching for Secure Collaborative Machine Learning
Mengjiao Zhang · Shusen Wang
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Benchmarks, Algorithms, and Metrics for Hierarchical Disentanglement
Andrew Ross · Finale Doshi-Velez
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Generalized Doubly Reparameterized Gradient Estimators
Matthias Bauer · Andriy Mnih
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Sharf: Shape-conditioned Radiance Fields from a Single View
Konstantinos Rematas · Ricardo Martin-Brualla · Vittorio Ferrari
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
On Linear Identifiability of Learned Representations
Geoffrey Roeder · Luke Metz · Durk Kingma
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT)
Adversarial Policy Learning in Two-player Competitive Games
Wenbo Guo · Xian Wu · Sui Huang · Xinyu Xing
Poster
Thu Jul 22 09:00 AM -- 11:00 AM (PDT) @ Virtual
Graph Convolution for Semi-Supervised Classification: Improved Linear Separability and Out-of-Distribution Generalization
Aseem Baranwal · Kimon Fountoulakis · Aukosh Jagannath