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Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Adversarial Neural Pruning with Latent Vulnerability Suppression
In Poster Session 13
Divyam Madaan · Jinwoo Shin · Sung Ju Hwang
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Meta-learning for Mixed Linear Regression
In Poster Session 13
Weihao Kong · Raghav Somani · Zhao Song · Sham Kakade · Sewoong Oh
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
PoWER-BERT: Accelerating BERT Inference via Progressive Word-vector Elimination
In Poster Session 13
Saurabh Goyal · Anamitra Roy Choudhury · Saurabh Raje · Venkatesan Chakaravarthy · Yogish Sabharwal · Ashish Verma
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Nonparametric Score Estimators
In Poster Session 13
Yuhao Zhou · Jiaxin Shi · Jun Zhu
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Scalable Identification of Partially Observed Systems with Certainty-Equivalent EM
In Poster Session 13
Kunal Menda · Jean de Becdelievre · Jayesh K. Gupta · Ilan Kroo · Mykel Kochenderfer · Zachary Manchester
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
In Poster Session 13
Shangtong Zhang · Bo Liu · Shimon Whiteson
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Near-optimal sample complexity bounds for learning Latent $k-$polytopes and applications to Ad-Mixtures
In Poster Session 13
Chiranjib Bhattacharyya · Ravindran Kannan
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
AutoML-Zero: Evolving Machine Learning Algorithms From Scratch
In Poster Session 13
Esteban Real · Chen Liang · David So · Quoc Le
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Oracle Efficient Private Non-Convex Optimization
In Poster Session 13
Seth Neel · Aaron Roth · Giuseppe Vietri · Steven Wu
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Working Memory Graphs
In Poster Session 13
Ricky Loynd · Roland Fernandez · Asli Celikyilmaz · Adith Swaminathan · Matthew Hausknecht
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Associative Memory in Iterated Overparameterized Sigmoid Autoencoders
In Poster Session 13
Yibo Jiang · Cengiz Pehlevan
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Learning Fair Policies in Multi-Objective (Deep) Reinforcement Learning with Average and Discounted Rewards
In Poster Session 13
Umer Siddique · Paul Weng · Matthieu Zimmer
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Closing the convergence gap of SGD without replacement
In Poster Session 13
Shashank Rajput · Anant Gupta · Dimitris Papailiopoulos
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Discount Factor as a Regularizer in Reinforcement Learning
In Poster Session 13
Ron Amit · Ron Meir · Kamil Ciosek
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
DROCC: Deep Robust One-Class Classification
In Poster Session 13
Sachin Goyal · Aditi Raghunathan · Moksh Jain · Harsha Vardhan Simhadri · Prateek Jain
Poster
Wed Jul 15 12:00 AM -- 12:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
RIFLE: Backpropagation in Depth for Deep Transfer Learning through Re-Initializing the Fully-connected LayEr
In Poster Session 13
Xingjian Li · Haoyi Xiong · Haozhe An · Cheng-Zhong Xu · Dejing Dou
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Two Simple Ways to Learn Individual Fairness Metrics from Data
In Poster Session 13
Debarghya Mukherjee · Mikhail Yurochkin · Moulinath Banerjee · Yuekai Sun
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Variable Skipping for Autoregressive Range Density Estimation
In Poster Session 13
Eric Liang · Zongheng Yang · Ion Stoica · Pieter Abbeel · Yan Duan · Peter Chen
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Fiduciary Bandits
In Poster Session 13
Gal Bahar · Omer Ben-Porat · Kevin Leyton-Brown · Moshe Tennenholtz
Poster
Wed Jul 15 01:00 AM -- 01:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Adversarial Attacks on Probabilistic Autoregressive Forecasting Models
In Poster Session 13
Raphaël Dang-Nhu · Gagandeep Singh · Pavol Bielik · Martin Vechev
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalisation
In Poster Session 13
Junjie Hu · Sebastian Ruder · Aditya Siddhant · Graham Neubig · Orhan Firat · Melvin Johnson
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Online Control of the False Coverage Rate and False Sign Rate
In Poster Session 13
Asaf Weinstein · Aaditya Ramdas
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Optimal Robust Learning of Discrete Distributions from Batches
In Poster Session 13
Ayush Jain · Alon Orlitsky
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Global Concavity and Optimization in a Class of Dynamic Discrete Choice Models
In Poster Session 13
Yiding Feng · Ekaterina Khmelnitskaya · Denis Nekipelov
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data
In Poster Session 13
Felipe Petroski Such · Aditya Rawal · Joel Lehman · Kenneth Stanley · Jeffrey Clune
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
A Sample Complexity Separation between Non-Convex and Convex Meta-Learning
In Poster Session 13
Nikunj Umesh Saunshi · Yi Zhang · Mikhail Khodak · Sanjeev Arora
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Responsive Safety in Reinforcement Learning by PID Lagrangian Methods
In Poster Session 13
Adam Stooke · Joshua Achiam · Pieter Abbeel
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Learning To Stop While Learning To Predict
In Poster Session 13
Xinshi Chen · Hanjun Dai · Yu Li · Xin Gao · Le Song
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Robust One-Bit Recovery via ReLU Generative Networks: Near-Optimal Statistical Rate and Global Landscape Analysis
In Poster Session 13
Shuang Qiu · Xiaohan Wei · Zhuoran Yang
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
SCAFFOLD: Stochastic Controlled Averaging for Federated Learning
In Poster Session 13
Sai Praneeth Reddy Karimireddy · Satyen Kale · Mehryar Mohri · Sashank Jakkam Reddi · Sebastian Stich · Ananda Theertha Suresh
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
When are Non-Parametric Methods Robust?
In Poster Session 13
Robi Bhattacharjee · Kamalika Chaudhuri
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Generalizing Convolutional Neural Networks for Equivariance to Lie Groups on Arbitrary Continuous Data
In Poster Session 13
Marc Finzi · Samuel Stanton · Pavel Izmailov · Andrew Wilson
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Revisiting Spatial Invariance with Low-Rank Local Connectivity
In Poster Session 13
Gamaleldin Elsayed · Prajit Ramachandran · Jon Shlens · Simon Kornblith
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Logarithmic Regret for Adversarial Online Control
In Poster Session 13
Dylan Foster · Max Simchowitz
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST) @ Virtual
Incremental Sampling Without Replacement for Sequence Models
In Poster Session 13
Kensen Shi · David Bieber · Charles Sutton
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Train Big, Then Compress: Rethinking Model Size for Efficient Training and Inference of Transformers
In Poster Session 13
Zhuohan Li · Eric Wallace · Sheng Shen · Kevin Lin · Kurt Keutzer · Dan Klein · Joseph Gonzalez
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
On the Theoretical Properties of the Network Jackknife
In Poster Session 13
Qiaohui Lin · Robert Lunde · Purnamrita Sarkar
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Generative Pretraining From Pixels
In Poster Session 13
Mark Chen · Alec Radford · Rewon Child · Jeffrey K Wu · Heewoo Jun · David Luan · Ilya Sutskever
Poster
Wed Jul 15 02:00 AM -- 02:45 AM & Wed Jul 15 01:00 PM -- 01:45 PM (KST)
Training Deep Energy-Based Models with f-Divergence Minimization
In Poster Session 13
Lantao Yu · Yang Song · Jiaming Song · Stefano Ermon