(234 events)   Timezone: »  
Show all »
The 2021 schedule is still incomplete
Toggle Poster Visibility
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Meta-Thompson Sampling
Branislav Kveton · Mikhail Konobeev · Manzil Zaheer · Chih-wei Hsu · Martin Mladenov · Craig Boutilier · Csaba Szepesvari
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Understanding and Mitigating Social Biases in Language Models
Paul Liang · Chiyu Wu · Louis-Philippe Morency · Ruslan Salakhutdinov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Correcting Exposure Bias for Link Recommendation
Shantanu Gupta · Hao Wang · Zachary Lipton · Yuyang Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Bias-Free Scalable Gaussian Processes via Randomized Truncations
Andres Potapczynski · Luhuan Wu · Dan Biderman · Geoff Pleiss · John Cunningham
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Conjugate Energy-Based Models
Hao Wu · Babak Esmaeili · Michael Wick · Jean-Baptiste Tristan · Jan-Willem van de Meent
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unsupervised Embedding Adaptation via Early-Stage Feature Reconstruction for Few-Shot Classification
Dong Hoon Lee · Sae-Young Chung
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Globally-Robust Neural Networks
Klas Leino · Zifan Wang · Matt Fredrikson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Self-Improved Retrosynthetic Planning
Junsu Kim · Sungsoo Ahn · Hankook Lee · Jinwoo Shin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Conditional Temporal Neural Processes with Covariance Loss
Boseon Yoo · Jiwoo Lee · Janghoon Ju · Seijun Chung · Soyeon Kim · Jaesik Choi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Model-Targeted Poisoning Attacks with Provable Convergence
Fnu Suya · Saeed Mahloujifar · Anshuman Suri · David Evans · Yuan Tian
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
ADOM: Accelerated Decentralized Optimization Method for Time-Varying Networks
Dmitry Kovalev · Egor Shulgin · Peter Richtarik · Alexander Rogozin · Alexander Gasnikov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Disentangling syntax and semantics in the brain with deep networks
Charlotte Caucheteux · Alexandre Gramfort · Jean-Remi King
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
STRODE: Stochastic Boundary Ordinary Differential Equation
Huang Hengguan · Hongfu Liu · Hao Wang · Chang Xiao · Ye Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Lossless Compression of Efficient Private Local Randomizers
Vitaly Feldman · Kunal Talwar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Privacy-Preserving Feature Selection with Secure Multiparty Computation
Xiling Li · Rafael Dowsley · Martine De Cock
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Black-box density function estimation using recursive partitioning
Erik Bodin · Zhenwen Dai · Neill Campbell · Carl Henrik Ek
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Single Pass Entrywise-Transformed Low Rank Approximation
Yifei Jiang · Yi Li · Yiming Sun · Jiaxin Wang · David Woodruff
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Testing Group Fairness via Optimal Transport Projections
Nian Si · Karthyek Murthy · Jose Blanchet · Viet Anh Nguyen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Second look at Exponential and Cosine Step Sizes: Simplicity, Adaptivity, and Performance
Xiaoyu Li · Zhenxun Zhuang · Francesco Orabona
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Adversarial Multi Class Learning under Weak Supervision with Performance Guarantees
Alessio Mazzetto · Cyrus Cousins · Dylan Sam · Stephen Bach · Eli Upfal
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Explaining Time Series Predictions with Dynamic Masks
Jonathan Crabbé · Mihaela van der Schaar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
BANG: Bridging Autoregressive and Non-autoregressive Generation with Large Scale Pretraining
Weizhen Qi · Yeyun Gong · Jian Jiao · Yu Yan · Weizhu Chen · Dayiheng Liu · Kewen Tang · Houqiang Li · Jiusheng Chen · Ruofei Zhang · Ming Zhou · Nan Duan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Leveraging Public Data for Practical Private Query Release
Terrance Liu · Giuseppe Vietri · Thomas Steinke · Jonathan Ullman · Steven Wu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Near-Optimal Entrywise Anomaly Detection for Low-Rank Matrices with Sub-Exponential Noise
Vivek Farias · Andrew Li · Tianyi Peng
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Backdoor Scanning for Deep Neural Networks through K-Arm Optimization
Guangyu Shen · Yingqi Liu · Guanhong Tao · Shengwei An · Qiuling Xu · Siyuan Cheng · Shiqing Ma · Xiangyu Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Straight to the Gradient: Learning to Use Novel Tokens for Neural Text Generation
Xiang Lin · Simeng Han · Shafiq Joty
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Active Slices for Sliced Stein Discrepancy
Wenbo Gong · Kaibo Zhang · Yingzhen Li · Jose Miguel Hernandez-Lobato
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learning Self-Modulating Attention in Continuous Time Space with Applications to Sequential Recommendation
Chao Chen · Haoyu Geng · Nianzu Yang · Junchi Yan · Daiyue Xue · Jianping Yu · Xiaokang Yang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Locally Adaptive Label Smoothing Improves Predictive Churn
Dara Bahri · Heinrich Jiang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Group Fisher Pruning for Practical Network Compression
Liyang Liu · Shilong Zhang · Zhanghui Kuang · Aojun Zhou · Jing-Hao Xue · Xinjiang Wang · Yimin Chen · Wenming Yang · Qingmin Liao · Wayne Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Neighborhood Contrastive Learning Applied to Online Patient Monitoring
Hugo Yèche · Gideon Dresdner · Francesco Locatello · Matthias Hüser · Gunnar Rätsch
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Maximum Mean Discrepancy Test is Aware of Adversarial Attacks
Ruize Gao · Feng Liu · Jingfeng Zhang · Bo Han · Tongliang Liu · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Probabilistic Generating Circuits
Honghua Zhang · Brendan Juba · Guy Van den Broeck
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Crystallization Learning with the Delaunay Triangulation
Jiaqi Gu · Guosheng Yin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Unsupervised Part Representation by Flow Capsules
Sara Sabour Rouh Aghdam · Andrea Tagliasacchi · Soroosh Yazdani · Geoffrey Hinton · David Fleet
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Sparse and Imperceptible Adversarial Attack via a Homotopy Algorithm
Mingkang Zhu · Tianlong Chen · Zhangyang Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Fast margin maximization via dual acceleration
Ziwei Ji · Nati Srebro · Matus Telgarsky
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
You Only Sample (Almost) Once: Linear Cost Self-Attention Via Bernoulli Sampling
Zhanpeng Zeng · Yunyang Xiong · Sathya Ravi · Shailesh Acharya · Glenn Fung · Vikas Singh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On the Problem of Underranking in Group-Fair Ranking
Sruthi Gorantla · Amit Jayant Deshpande · Anand Louis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Testing DNN-based Autonomous Driving Systems under Critical Environmental Conditions
Zhong Li · Minxue Pan · Tian Zhang · Xuandong Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Integer Programming for Causal Structure Learning in the Presence of Latent Variables
Rui Chen · Sanjeeb Dash · Tian Gao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
WILDS: A Benchmark of in-the-Wild Distribution Shifts
Pang Wei Koh · Shiori Sagawa · Henrik Marklund · Sang Michael Xie · Marvin Zhang · Akshay Balsubramani · Weihua Hu · Michihiro Yasunaga · Richard Lanas Phillips · Irena Gao · Tony Lee · Etienne David · Ian Stavness · Wei Guo · Berton Earnshaw · Imran Haque · Sara Beery · Jure Leskovec · Anshul Kundaje · Emma Pierson · Sergey Levine · Chelsea Finn &mid
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Solving high-dimensional parabolic PDEs using the tensor train format
Lorenz Richter · Leon Sallandt · Nikolas Nüsken
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Value-Function-based Interior-point Method for Non-convex Bi-level Optimization
Risheng Liu · Xuan Liu · Xiaoming Yuan · Shangzhi Zeng · Jin Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
The Distributed Discrete Gaussian Mechanism for Federated Learning with Secure Aggregation
Peter Kairouz · Ziyu Liu · Thomas Steinke
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learner-Private Convex Optimization
Jiaming Xu · Kuang Xu · Dana Yang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Recovering AES Keys with a Deep Cold Boot Attack
Itamar Zimerman · Eliya Nachmani · Lior Wolf
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Policy Caches with Successor Features
Mark Nemecek · Ron Parr
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Regularizing towards Causal Invariance: Linear Models with Proxies
Michael Oberst · Nikolaj Thams · Jonas Peters · David Sontag
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
When Does Data Augmentation Help With Membership Inference Attacks?
Yigitcan Kaya · Tudor Dumitras
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
CURI: A Benchmark for Productive Concept Learning Under Uncertainty
Shanmukha Ramakrishna Vedantam · Arthur Szlam · Maximilian Nickel · Ari Morcos · Brenden Lake
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Neural Pharmacodynamic State Space Modeling
Zeshan Hussain · Rahul G. Krishnan · David Sontag
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Integrated Defense for Resilient Graph Matching
Jiaxiang Ren · Zijie Zhang · Jiayin Jin · Xin Zhao · Sixing Wu · Yang Zhou · Yelong Shen · Tianshi Che · Ruoming Jin · Dejing Dou
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Smooth $p$-Wasserstein Distance: Structure, Empirical Approximation, and Statistical Applications
Sloan Nietert · Ziv Goldfeld · Kengo Kato
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Debiasing Model Updates for Improving Personalized Federated Training
Durmus Alp Emre Acar · Yue Zhao · Ruizhao Zhu · Ramon Matas · Matthew Mattina · Paul Whatmough · Venkatesh Saligrama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Efficient Iterative Amortized Inference for Learning Symmetric and Disentangled Multi-Object Representations
Patrick Emami · Pan He · Sanjay Ranka · Anand Rangarajan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
BASE Layers: Simplifying Training of Large, Sparse Models
Mike Lewis · Shruti Bhosale · Tim Dettmers · Naman Goyal · Luke Zettlemoyer
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Message Passing Adaptive Resonance Theory for Online Active Semi-supervised Learning
Taehyeong Kim · Injune Hwang · Hyundo Lee · Hyunseo Kim · Won-Seok Choi · Joseph Lim · Byoung-Tak Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Model Fusion for Personalized Learning
Thanh Lam · Nghia Hoang · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Order-Agnostic Cross Entropy for Non-Autoregressive Machine Translation
Cunxiao Du · Zhaopeng Tu · Jing Jiang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
How rotational invariance of common kernels prevents generalization in high dimensions
Konstantin Donhauser · Mingqi Wu · Fanny Yang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mind the Box: $l_1$-APGD for Sparse Adversarial Attacks on Image Classifiers
Francesco Croce · Matthias Hein
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Monte Carlo Variational Auto-Encoders
Achille Thin · Nikita Kotelevskii · Arnaud Doucet · Alain Durmus · Eric Moulines · Maxim Panov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
GBHT: Gradient Boosting Histogram Transform for Density Estimation
Jingyi Cui · Hanyuan Hang · Yisen Wang · Zhouchen Lin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
CountSketches, Feature Hashing and the Median of Three
Kasper Green Larsen · Rasmus Pagh · Jakub Tětek
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Function Contrastive Learning of Transferable Meta-Representations
Muhammad Waleed Gondal · Shruti Joshi · Nasim Rahaman · Stefan Bauer · Manuel Wuthrich · Bernhard Schölkopf
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Online Algorithms with Distributional Advice
Ilias Diakonikolas · Vasilis Kontonis · Christos Tzamos · Ali Vakilian · Nikos Zarifis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Alessandro Sordoni · Nouha Dziri · Hannes Schulz · Geoff Gordon · Philip Bachman · Remi Tachet des Combes
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
HanQin Cai · Yuchen Lou · Daniel Mckenzie · Wotao Yin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Pareto GAN: Extending the Representational Power of GANs to Heavy-Tailed Distributions
Todd Huster · Jeremy Cohen · Zinan Lin · Kevin Chan · Charles Kamhoua · Nandi O. Leslie · Cho-Yu Chiang · Vyas Sekar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Projection techniques to update the truncated SVD of evolving matrices with applications
Vasileios Kalantzis · Georgios Kollias · Shashanka Ubaru · Athanasios N. Nikolakopoulos · Lior Horesh · Kenneth Clarkson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improving Gradient Regularization using Complex-Valued Neural Networks
Eric Yeats · Yiran Chen · Hai Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Self-supervised Graph-level Representation Learning with Local and Global Structure
Minghao Xu · Hang Wang · Bingbing Ni · Hongyu Guo · Jian Tang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Private Stochastic Convex Optimization: Optimal Rates in L1 Geometry
Hilal Asi · Vitaly Feldman · Tomer Koren · Kunal Talwar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Valid Causal Inference with (Some) Invalid Instruments
Jason Hartford · Victor Veitch · Dhanya Sridhar · Kevin Leyton-Brown
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Run-Sort-ReRun: Escaping Batch Size Limitations in Sliced Wasserstein Generative Models
José Lezama · Wei Chen · Qiang Qiu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learning Diverse-Structured Networks for Adversarial Robustness
Xuefeng Du · Jingfeng Zhang · Bo Han · Tongliang Liu · Yu Rong · Gang Niu · Junzhou Huang · Masashi Sugiyama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Improving Predictors via Combination Across Diverse Task Categories
Kwang In Kim
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Boosting for Online Convex Optimization
Elad Hazan · Karan Singh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Streaming and Distributed Algorithms for Robust Column Subset Selection
Shuli Jiang · Dongyu Li · Irene Mengze Li · Arvind Mahankali · David Woodruff
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
SinIR: Efficient General Image Manipulation with Single Image Reconstruction
Jihyeong Yoo · Qifeng Chen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Operationalizing Complex Causes: A Pragmatic View of Mediation
Limor Gultchin · David Watson · Matt J. Kusner · Ricardo Silva
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Permutation Weighting
David Arbour · Drew Dimmery · Arjun Sondhi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Explanations for Monotonic Classifiers.
Joao Marques-Silva · Thomas Gerspacher · Martin Cooper · Alexey Ignatiev · Nina Narodytska
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Reasoning Over Virtual Knowledge Bases With Open Predicate Relations
Haitian Sun · Patrick Verga · Bhuwan Dhingra · Ruslan Salakhutdinov · William Cohen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Online Selection Problems against Constrained Adversary
Zhihao Jiang · Pinyan Lu · Zhihao Gavin Tang · Yuhao Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Gradient Disaggregation: Breaking Privacy in Federated Learning by Reconstructing the User Participant Matrix
Maximilian Lam · Gu-Yeon Wei · David Brooks · Vijay Janapa Reddi · Michael Mitzenmacher
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Decentralized Single-Timescale Actor-Critic on Zero-Sum Two-Player Stochastic Games
Hongyi Guo · Zuyue Fu · Zhuoran Yang · Zhaoran Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Structured World Belief for Reinforcement Learning in POMDP
Gautam Singh · Skand Peri · Junghyun Kim · Hyunseok Kim · Sungjin Ahn
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Overcoming Catastrophic Forgetting by Bayesian Generative Regularization
PEI-HUNG Chen · Wei Wei · Cho-Jui Hsieh · Bo Dai
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning Transferable Visual Models From Natural Language Supervision
Alec Radford · Jong Wook Kim · Chris Hallacy · Aditya Ramesh · Gabriel Goh · Sandhini Agarwal · Girish Sastry · Amanda Askell · Pamela Mishkin · Jack Clark · Gretchen Krueger · Ilya Sutskever
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Examining and Combating Spurious Features under Distribution Shift
Chunting Zhou · Xuezhe Ma · Paul Michel · Graham Neubig
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Large-Scale Meta-Learning with Continual Trajectory Shifting
JaeWoong Shin · Hae Beom Lee · Boqing Gong · Sung Ju Hwang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Latent Space Energy-Based Model of Symbol-Vector Coupling for Text Generation and Classification
Bo Pang · Ying Nian Wu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
HoroPCA: Hyperbolic Dimensionality Reduction via Horospherical Projections
Ines Chami · Albert Gu · Dat P Nguyen · Christopher Re
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Watermarking Deep Neural Networks with Greedy Residuals
Hanwen Liu · Zhenyu Weng · Yuesheng Zhu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Problem Dependent View on Structured Thresholding Bandit Problems
James Cheshire · Pierre MENARD · Alexandra Carpentier
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
T-SCI: A Two-Stage Conformal Inference Algorithm with Guaranteed Coverage for Cox-MLP
Jiaye Teng · Zeren Tan · Yang Yuan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Budgeted Heterogeneous Treatment Effect Estimation
Tian Qin · Tian-Zuo Wang · Zhi-Hua Zhou
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Fused Acoustic and Text Encoding for Multimodal Bilingual Pretraining and Speech Translation
Renjie Zheng · Junkun Chen · Mingbo Ma · Liang Huang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Graph Cuts Always Find a Global Optimum for Potts Models (With a Catch)
Hunter Lang · David Sontag · Aravindan Vijayaraghavan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Oneshot Differentially Private Top-k Selection
Gang Qiao · Weijie Su · Li Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Language for Counterfactual Generative Models
Zenna Tavares · James Koppel · Xin Zhang · Ria Das · Armando Solar-Lezama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Additive Error Guarantees for Weighted Low Rank Approximation
Aditya Bhaskara · Aravinda Kanchana Ruwanpathirana · Pruthuvi Maheshakya Wijewardena
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Bayesian Structural Adaptation for Continual Learning
Abhishek Kumar · Sunabha Chatterjee · Piyush Rai
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Context-Aware Online Collective Inference for Templated Graphical Models
Charles Dickens · Connor Pryor · Eriq Augustine · Alexander Miller · Lise Getoor
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Link Prediction with Persistent Homology: An Interactive View
Zuoyu Yan · Tengfei Ma · Liangcai Gao · Zhi Tang · Chao Chen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
ASAM: Adaptive Sharpness-Aware Minimization for Scale-Invariant Learning of Deep Neural Networks
Jungmin Kwon · Jeongseop Kim · Hyunseo Park · In Kwon Choi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Framework for Private Matrix Analysis in Sliding Window Model
Jalaj Upadhyay · Sarvagya Upadhyay
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Sharper Generalization Bounds for Clustering
Shaojie Li · Yong Liu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Finding k in Latent $k-$ polytope
Chiranjib Bhattacharyya · Ravindran Kannan · Amit Kumar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Exponential Reduction in Sample Complexity with Learning of Ising Model Dynamics
Arkopal Dutt · Andrey Lokhov · Marc Vuffray · Sidhant Misra
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Object Segmentation Without Labels with Large-Scale Generative Models
Andrey Voynov · Stanislav Morozov · Artem Babenko
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Towards Defending against Adversarial Examples via Attack-Invariant Features
Dawei Zhou · Tongliang Liu · Bo Han · Nannan Wang · Chunlei Peng · Xinbo Gao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentially Private Aggregation in the Shuffle Model: Almost Central Accuracy in Almost a Single Message
Badih Ghazi · Ravi Kumar · Pasin Manurangsi · Rasmus Pagh · Amer Sinha
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Statistical Estimation from Dependent Data
Vardis Kandiros · Yuval Dagan · Nishanth Dikkala · Surbhi Goel · Constantinos Daskalakis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On Recovering from Modeling Errors Using Testing Bayesian Networks
Haiying Huang · Adnan Darwiche
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Cross-model Back-translated Distillation for Unsupervised Machine Translation
Xuan-Phi Nguyen · Shafiq Joty · Thanh-Tung Nguyen · Kui Wu · Ai Ti Aw
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Commutative Lie Group VAE for Disentanglement Learning
Xinqi Zhu · Chang Xu · Dacheng Tao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
CIFS: Improving Adversarial Robustness of CNNs via Channel-wise Importance-based Feature Selection
Hanshu YAN · Jingfeng Zhang · Gang Niu · Jiashi Feng · Vincent Tan · Masashi Sugiyama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Certifying L-infinity Robustness using Neural Networks with L-inf-dist Neurons
Bohang Zhang · Tianle Cai · Zhou Lu · Di He · Liwei Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
FILTRA: Rethinking Steerable CNN by Filter Transform
Bo Li · Qili Wang · Gim Hee Lee
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Efficient Online Learning for Dynamic k-Clustering
Dimitris Fotakis · Georgios Piliouras · Stratis Skoulakis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Diffusion Earth Mover's Distance and Distribution Embeddings
Alexander Tong · Guillaume Huguet · Amine Natik · Kincaid Macdonald · MANIK KUCHROO · Ronald Coifman · Guy Wolf · Smita Krishnaswamy
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture
Chenfeng Miao · Liang Shuang · Zhengchen Liu · Chen Minchuan · Jun Ma · Shaojun Wang · Jing Xiao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Sampling-Based Method for Tensor Ring Decomposition
Osman Asif Malik · Stephen Becker
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Exploration in Approximate Hyper-State Space for Meta Reinforcement Learning
Luisa Zintgraf · Leo Feng · Cong Lu · Maximilian Igl · Kristian Hartikainen · Katja Hofmann · Shimon Whiteson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Fast Sketching of Polynomial Kernels of Polynomial Degree
Zhao Song · David Woodruff · Zheng Yu · Lichen Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation
Haozhe Feng · Zhaoyang You · Minghao Chen · Tianye Zhang · Minfeng Zhu · Fei Wu · Chao Wu · Wei Chen
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Demystifying Inductive Biases for (Beta-)VAE Based Architectures
Dominik Zietlow · Michal Rolinek · Georg Martius
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Meta-Learning Bidirectional Update Rules
Mark Sandler · Max Vladymyrov · Andrey Zhmoginov · Nolan Miller · Tom Madams · Andrew Jackson · Blaise Agüera y Arcas
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Equivariant Learning of Stochastic Fields: Gaussian Processes and Steerable Conditional Neural Processes
Peter Holderrieth · Michael Hutchinson · Yee-Whye Teh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Average-Reward Off-Policy Policy Evaluation with Function Approximation
Shangtong Zhang · Yi Wan · Richard Sutton · Shimon Whiteson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
SoundDet: Polyphonic Moving Sound Event Detection and Localization from Raw Waveform
Yuhang He · Niki Trigoni · Andrew Markham
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
One Pass Late Fusion Multi-view Clustering
Xinwang Liu · Li Liu · Qing Liao · Siwei Wang · Yi Zhang · Wenxuan Tu · Chang Tang · Jiyuan Liu · En Zhu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Improving Generalization in Meta-learning via Task Augmentation
Huaxiu Yao · Long-Kai Huang · Linjun Zhang · Ying WEI · Li Tian · James Zou · Junzhou Huang · Zhenhui (Jessie) Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Simple and Effective VAE Training with Calibrated Decoders
Oleh Rybkin · Kostas Daniilidis · Sergey Levine
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Learning de-identified representations of prosody from raw audio
Jack Weston · Raphael Lenain · Udeepa Meepegama · Emil Fristed
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Causality-aware counterfactual confounding adjustment as an alternative to linear residualization in anticausal prediction tasks based on linear learners
Elias Chaibub Neto
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Value-at-Risk Optimization with Gaussian Processes
Quoc Phong Nguyen · Zhongxiang Dai · Bryan Kian Hsiang Low · Patrick Jaillet
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Two Heads are Better Than One: Hypergraph-Enhanced Graph Reasoning for Visual Event Ratiocination
Wenbo Zheng · Lan Yan · Chao Gou · Fei-Yue Wang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Elementary superexpressive activations
Dmitry Yarotsky
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learn2Hop: Learned Optimization on Rough Landscapes
Amil Merchant · Luke Metz · Samuel Schoenholz · Ekin Dogus Cubuk
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
MetaCURE: Meta Reinforcement Learning with Empowerment-Driven Exploration
Jin Zhang · Jianhao Wang · Hao Hu · Tong Chen · Yingfeng Chen · Changjie Fan · Chongjie Zhang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Calibrate Before Use: Improving Few-shot Performance of Language Models
Tony Z. Zhao · Eric Wallace · Shi Feng · Dan Klein · Sameer Singh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Composed Fine-Tuning: Freezing Pre-Trained Denoising Autoencoders for Improved Generalization
Sang Michael Xie · Tengyu Ma · Percy Liang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Dual Principal Component Pursuit for Robust Subspace Learning: Theory and Algorithms for a Holistic Approach
Tianyu Ding · Zhihui Zhu · Rene Vidal · Daniel Robinson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Machine Unlearning for Random Forests
Jonathan Brophy · Daniel Lowd
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Backpropagated Neighborhood Aggregation for Accurate Training of Spiking Neural Networks
Yukun Yang · Wenrui Zhang · Peng Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
SKIing on Simplices: Kernel Interpolation on the Permutohedral Lattice for Scalable Gaussian Processes
Sanyam Kapoor · Marc Finzi · Ke Alexander Wang · Andrew Wilson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
SG-PALM: a Fast Physically Interpretable Tensor Graphical Model
Yu Wang · Alfred Hero
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
HEMET: A Homomorphic-Encryption-Friendly Privacy-Preserving Mobile Neural Network Architecture
Qian Lou · Lei Jiang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Global Prosody Style Transfer Without Text Transcriptions
Kaizhi Qian · Yang Zhang · Shiyu Chang · Jinjun Xiong · Chuang Gan · David Cox · Mark Hasegawa-Johnson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Improving Ultrametrics Embeddings Through Coresets
Vincent Cohen-Addad · Rémi de Joannis de Verclos · Guillaume Lagarde
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Learn-to-Share: A Hardware-friendly Transfer Learning Framework Exploiting Computation and Parameter Sharing
Cheng Fu · Hanxian Huang · Xinyun Chen · Yuandong Tian · Jishen Zhao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Improved Algorithms for Agnostic Pool-based Active Classification
Julian Katz-Samuels · Jifan Zhang · Lalit Jain · Kevin Jamieson
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Accelerating Gossip SGD with Periodic Global Averaging
Yiming Chen · Kun Yuan · Yingya Zhang · Pan Pan · Yinghui Xu · Wotao Yin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Towards Open-World Recommendation: An Inductive Model-based Collaborative Filtering Approach
Qitian Wu · Hengrui Zhang · Xiaofeng Gao · Junchi Yan · Hongyuan Zha
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
UniSpeech: Unified Speech Representation Learning with Labeled and Unlabeled Data
Chengyi Wang · Yu Wu · Yao Qian · Kenichi Kumatani · Shujie Liu · Furu Wei · Michael Zeng · Xuedong Huang
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
DANCE: Enhancing saliency maps using decoys
Yang Lu · Wenbo Guo · Xinyu Xing · William Stafford Noble
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Equivariant Networks for Pixelized Spheres
Mehran Shakerinava · Siamak Ravanbakhsh
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Uncovering the Connections Between Adversarial Transferability and Knowledge Transferability
Kaizhao Liang · Jacky Zhang · Boxin Wang · Zhuolin Yang · Sanmi Koyejo · Bo Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Marginalized Stochastic Natural Gradients for Black-Box Variational Inference
Geng Ji · Debora Sujono · Erik Sudderth
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Progressive-Scale Boundary Blackbox Attack via Projective Gradient Estimation
Jiawei Zhang · Linyi Li · Huichen Li · Xiaolu Zhang · Shuang Yang · Bo Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unsupervised Representation Learning via Neural Activation Coding
Yookoon Park · Sangho Lee · Gunhee Kim · David Blei
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Scalable Deterministic Global Optimization Algorithm for Clustering Problems
Kaixun Hua · Mingfei Shi · Yankai Cao
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Non-Convex Exact Recovery in Stochastic Block Model via Projected Power Method
Peng Wang · Huikang Liu · Zirui Zhou · Anthony Man-Cho So
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Generative Causal Explanations for Graph Neural Networks
Wanyu Lin · Hao Lan · Baochun Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Unitary Branching Programs: Learnability and Lower Bounds
Fidel Ernesto Diaz Andino · Maria Kokkou · Mateus de Oliveira Oliveira · Farhad Vadiee
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
REPAINT: Knowledge Transfer in Deep Reinforcement Learning
Yunzhe Tao · Sahika Genc · Jonathan Chung · TAO SUN · Sunil Mallya
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Efficient Statistical Tests: A Neural Tangent Kernel Approach
Sheng Jia · Ehsan Nezhadarya · Yuhuai Wu · Jimmy Ba
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On Limited-Memory Subsampling Strategies for Bandits
Dorian Baudry · Yoan Russac · Olivier Cappé
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Discretization Drift in Two-Player Games
Mihaela Rosca · Yan Wu · Benoit Dherin · David GT Barrett
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Provably End-to-end Label-noise Learning without Anchor Points
Xuefeng Li · Tongliang Liu · Bo Han · Gang Niu · Masashi Sugiyama
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
MorphVAE: Generating Neural Morphologies from 3D-Walks using a Variational Autoencoder with Spherical Latent Space
Sophie Laturnus · Philipp Berens
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Differentially Private Densest Subgraph Detection
Dung Nguyen · Anil Vullikanti
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
Jaehyeon Kim · Jungil Kong · Juhee Son
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time
Laxman Dhulipala · David Eisenstat · Jakub Łącki · Vahab Mirrokni · Jessica Shi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Proxy Variable View of Shared Confounding
Yixin Wang · David Blei
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Provable Lipschitz Certification for Generative Models
Matt Jordan · Alexandros Dimakis
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
PopSkipJump: Decision-Based Attack for Probabilistic Classifiers
Carl-Johann Simon-Gabriel · Noman Ahmed Sheikh · Andreas Krause
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Crowdsourcing via Annotator Co-occurrence Imputation and Provable Symmetric Nonnegative Matrix Factorization
Shahana Ibrahim · Xiao Fu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Neural Tangent Generalization Attacks
Chia-Hung Yuan · Shan-Hung (Brandon) Wu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
High-Dimensional Gaussian Process Inference with Derivatives
Filip de Roos · Alexandra Gessner · Philipp Hennig
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Differentially Private Bayesian Inference for Generalized Linear Models
Tejas Kulkarni · Joonas Jälkö · Antti Koskela · Samuel Kaski · Antti Honkela
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Double-Win Quant: Aggressively Winning Robustness of Quantized Deep Neural Networks via Random Precision Training and Inference
Yonggan Fu · Qixuan Yu · Meng Li · Vikas Chandra · Yingyan Lin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Meta-Cal: Well-controlled Post-hoc Calibration by Ranking
Xingchen Ma · Matthew B Blaschko
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A Structured Observation Distribution for Generative Biological Sequence Prediction and Forecasting
Eli N. Weinstein · Debora Marks
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraged Weighted Loss for Partial Label Learning
Hongwei Wen · Jingyi Cui · Hanyuan Hang · Jiabin Liu · Yisen Wang · Zhouchen Lin
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Online Learning with Optimism and Delay
Genevieve Flaspohler · Francesco Orabona · Judah Cohen · Soukayna Mouatadid · Miruna Oprescu · Paulo Orenstein · Lester Mackey
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Blind Pareto Fairness and Subgroup Robustness
Natalia Martinez Gil · Martin Bertran · Afroditi Papadaki · Miguel Rodrigues · Guillermo Sapiro
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Automatic variational inference with cascading flows
Luca Ambrogioni · Gianluigi Silvestri · Marcel van Gerven
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Generalization Error Bound for Hyperbolic Ordinal Embedding
Atsushi Suzuki · Atsushi Nitanda · Jing Wang · Linchuan Xu · Kenji Yamanishi · Marc Cavazza
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
LogME: Practical Assessment of Pre-trained Models for Transfer Learning
Kaichao You · Yong Liu · Jianmin Wang · Mingsheng Long
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Temporal Predictive Coding For Model-Based Planning In Latent Space
Tung Nguyen · Rui Shu · Tuan Pham · Hung Bui · Stefano Ermon
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Dimensionality Reduction for the Sum-of-Distances Metric
Zhili Feng · Praneeth Kacham · David Woodruff
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Leveraging Good Representations in Linear Contextual Bandits
Matteo Papini · Andrea Tirinzoni · Marcello Restelli · Alessandro Lazaric · Matteo Pirotta
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Mixed Cross Entropy Loss for Neural Machine Translation
Haoran Li · Wei Lu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Large Scale Private Learning via Low-rank Reparametrization
Da Yu · Huishuai Zhang · Wei Chen · Jian Yin · Tie-Yan Liu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks
Chulin Xie · Minghao Chen · Pin-Yu Chen · Bo Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Image-Level or Object-Level? A Tale of Two Resampling Strategies for Long-Tailed Detection
Nadine Chang · Zhiding Yu · Yu-Xiong Wang · Anima Anandkumar · Sanja Fidler · Jose Alvarez
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Optimal Counterfactual Explanations in Tree Ensembles
Axel Parmentier · Thibaut Vidal
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
GP-Tree: A Gaussian Process Classifier for Few-Shot Incremental Learning
Idan Achituve · Aviv Navon · Yochai Yemini · Gal Chechik · Ethan Fetaya
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Exploiting Shared Representations for Personalized Federated Learning
Liam Collins · Hamed Hassani · Aryan Mokhtari · Sanjay Shakkottai
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Active Learning for Distributionally Robust Level-Set Estimation
Yu Inatsu · Shogo Iwazaki · Ichiro Takeuchi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Lenient Regret and Good-Action Identification in Gaussian Process Bandits
Xu Cai · Selwyn Gomes · Jonathan Scarlett
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Self-supervised and Supervised Joint Training for Resource-rich Machine Translation
Yong Cheng · Wei Wang · Lu Jiang · Wolfgang Macherey
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Prediction-Centric Learning of Independent Cascade Dynamics from Partial Observations
Mateusz Wilinski · Andrey Lokhov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Implicit-PDF: Non-Parametric Representation of Probability Distributions on the Rotation Manifold
Kieran Murphy · Carlos Esteves · Varun Jampani · Srikumar Ramalingam · Ameesh Makadia
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Private Adaptive Gradient Methods for Convex Optimization
Hilal Asi · John Duchi · Alireza Fallah · Omid Javidbakht · Kunal Talwar
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Towards Better Robust Generalization with Shift Consistency Regularization
Shufei Zhang · Zhuang Qian · Kaizhu Huang · Qiufeng Wang · Rui Zhang · Xinping Yi
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Differentially Private Sliced Wasserstein Distance
alain rakotomamonjy · Ralaivola Liva
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Estimating Identifiable Causal Effects on Markov Equivalence Class through Double Machine Learning
Yonghan Jung · Jin Tian · Elias Bareinboim
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On-the-fly Rectification for Robust Large-Vocabulary Topic Inference
Moontae Lee · Sungjun Cho · Kun Dong · David Mimno · David Bindel
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Supervised Tree-Wasserstein Distance
Yuki Takezawa · Ryoma Sato · Makoto Yamada
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
On Lower Bounds for Standard and Robust Gaussian Process Bandit Optimization
Xu Cai · Jonathan Scarlett
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Fixed-Parameter and Approximation Algorithms for PCA with Outliers
Yogesh Dahiya · Fedor Fomin · Fahad Panolan · Kirill Simonov
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Robust Learning for Data Poisoning Attacks
Yunjuan Wang · Poorya Mianjy · Raman Arora
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
Noam Wies · Yoav Levine · Daniel Jannai · Amnon Shashua
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
SGA: A Robust Algorithm for Partial Recovery of Tree-Structured Graphical Models with Noisy Samples
Anshoo Tandon · Aldric Han · Vincent Tan
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Offline Meta-Reinforcement Learning with Advantage Weighting
Eric Mitchell · Rafael Rafailov · Xue Bin Peng · Sergey Levine · Chelsea Finn
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Practical and Private (Deep) Learning Without Sampling or Shuffling
Peter Kairouz · Brendan McMahan · Shuang Song · Om Dipakbhai Thakkar · Abhradeep Guha Thakurta · Zheng Xu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Graph Neural Networks Inspired by Classical Iterative Algorithms
Yang Yongyi · Tang Liu · Yangkun Wang · Jinjing Zhou · Quan Gan · Zhewei Wei · Zheng Zhang · Zengfeng Huang · David Wipf
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Objective Bound Conditional Gaussian Process for Bayesian Optimization
Taewon Jeong · Heeyoung Kim
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Label Inference Attacks from Log-loss Scores
Abhinav Aggarwal · Shiva Kasiviswanathan · Zekun Xu · Oluwaseyi Feyisetan · Nathanael Teissier
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Few-shot Language Coordination by Modeling Theory of Mind
Hao Zhu · Graham Neubig · Yonatan Bisk
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Bridging Multi-Task Learning and Meta-Learning: Towards Efficient Training and Effective Adaptation
Haoxiang Wang · Han Zhao · Bo Li
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Optimal Thompson Sampling strategies for support-aware CVaR bandits
Dorian Baudry · Romain Gautron · Emilie Kaufmann · Odalric-Ambrym Maillard
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Correlation Clustering in Constant Many Parallel Rounds
Vincent Cohen-Addad · Silvio Lattanzi · Slobodan Mitrović · Ashkan Norouzi-Fard · Nikos Parotsidis · Jakub Tarnawski
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
A General Framework For Detecting Anomalous Inputs to DNN Classifiers
Jayaram Raghuram · Varun Chandrasekaran · Somesh Jha · Suman Banerjee
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Data-Free Knowledge Distillation for Heterogeneous Federated Learning
Zhuangdi Zhu · Junyuan Hong · Jiayu Zhou
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
Grey-box Extraction of Natural Language Models
Santiago Zanella-Beguelin · Shruti Tople · Andrew Paverd · Boris Köpf
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT)
A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning
Nikunj Umesh Saunshi · Arushi Gupta · Wei Hu
Poster
Thu Jul 22 09:00 PM -- 11:00 PM (PDT) @ Virtual
Understanding and Mitigating Accuracy Disparity in Regression
Jianfeng Chi · Yuan Tian · Geoff Gordon · Han Zhao