PRiML members, together with other Penn faculty, postdocs, and students, publish 20 papers at ICML 2020!

Reverse-engineering deep ReLU networks
David Rolnick (University of Pennsylvania) · Konrad Kording (University of Pennsylvania)

Oracle Efficient Private Non-Convex Optimization
Seth Neel (University of Pennsylvania) · Aaron Roth (University of Pennsylvania) · Giuseppe Vietri (University of Minnesota) · Steven Wu (University of Minnesota)

One-shot distributed ridge regression in high dimensions
Yue Sheng (University of Pennsylvania) · Edgar Dobriban (University of Pennsylvania)

DeltaGrad: Rapid retraining of machine learning models
Yinjun Wu (University of Pennsylvania) · Edgar Dobriban (University of Pennsylvania) · Susan Davidson (University of Pennsylvania)

Goodness-of-Fit Tests for Inhomogeneous Random Graphs
Soham Dan (University of Pennsylvania) · Bhaswar B. Bhattacharya (University of Pennsylvania)

Generating Programmatic Referring Expressions via Program Synthesis
Jiani Huang (University of Pennsylvania ) · Calvin Smith (University of Wisconsin at Madison) · Osbert Bastani (University of Pennsylvania) · Rishabh Singh (Google Brain) · Aws Albarghouthi (University of Wisconsin-Madison) · Mayur Naik (University of Pennsylvania)

Towards Understanding the Dynamics of the First-Order Adversaries
Zhun Deng (Harvard) · Hangfeng He (University of Pennsylvania) · Jiaoyang Huang (Institute of Advanced Study) · Weijie Su (University of Pennsylvania)

On the Generalization Effects of Linear Transformations in Data Augmentation
Sen Wu (Stanford University) · Hongyang Zhang (University of Pennsylvania) · Gregory Valiant (Stanford University) · Christopher Re (Stanford)

The Implicit Regularization of Stochastic Gradient Flow for Least Squares
Alnur Ali (Carnegie Mellon University) · Edgar Dobriban (University of Pennsylvania) · Ryan Tibshirani (Carnegie Mellon University)

Convex Calibrated Surrogates for the Multi-Label F-Measure
Mingyuan Zhang (University of Pennsylvania) · Harish Guruprasad Ramaswamy (IIT Madras) · Shivani Agarwal (University of Pennsylvania)

FormulaZero: Distributionally Robust Online Adaptation via Offline Population Synthesis
Aman Sinha (Stanford University) · Matthew O’Kelly (University of Pennsylvania) · Hongrui Zheng (University of Pennsylvania) · Rahul Mangharam (University of Pennsylvania) · John Duchi (Stanford University) · Russ Tedrake (MIT)

Quantized Decentralized Stochastic Learning over Directed Graphs
Hossein Taheri (UC Santa Barbara) · Aryan Mokhtari (UT Austin) · Hamed Hassani (University of Pennsylvania) · Ramtin Pedarsani (University of California, Santa Barbara)

A Free-Energy Principle for Representation Learning
Yansong Gao (University of Pennsylvania) · Pratik Chaudhari (University of Pennsylvania)

Learning for Dose Allocation in Adaptive Clinical Trials with Safety Constraints
Cong Shen (University of Virginia) · Zhiyang Wang (University of Pennsylvania) · Sofia Villar (University of Cambridge) · M van der Schaar (UCLA)

Planning to Explore via Latent Disagreement
Ramanan Sekar (University of Pennsylvania) · Oleh Rybkin (University of Pennsylvania / UC Berkeley (Visiting)) · Kostas Daniilidis (University of Pennsylvania) · Pieter Abbeel (UC Berkeley & Covariant) · Danijar Hafner (Google Brain & University of Toronto) · Deepak Pathak (UC Berkeley)

Rank Aggregation from Pairwise Comparisons in the Presence of Adversarial Corruptions
Arpit Agarwal (University of Pennsylvania) · Shivani Agarwal (University of Pennsylvania) · Sanjeev Khanna (University of Pennsylvania) · Prathamesh Patil (University of Pennsylvania)

Cautious Adaptation For Reinforcement Learning in Safety-Critical Settings
Jesse Zhang (UC Berkeley) · Brian Cheung (UC Berkeley) · Chelsea Finn (Stanford) · Sergey Levine (UC Berkeley) · Dinesh Jayaraman (University of Pennsylvania)

Optimal Differential Privacy Composition for Exponential Mechanisms
Jinshuo Dong (University of Pennsylvania) · David Durfee (Georgia Tech) · Ryan Rogers (LinkedIn)

Robust Black Box Explanations Under Distribution Shift
Himabindu Lakkaraju (Harvard) · Nino Arsov (Macedonian Academy of Arts and Sciences) · Osbert Bastani (University of Pennsylvania)

Sharp Composition Bounds for Gaussian Differential Privacy via Edgeworth Expansion
Qinqing Zheng (University of Pennsylvania) · Jinshuo Dong (University of Pennsylvania) · Qi Long (University of Pennsylvania) · Weijie Su (University of Pennsylvania)

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