ICML 2022

1,233 papers

AdaGrad Avoids Saddle Points

Kimon Antonakopoulos, Panayotis Mertikopoulos, Georgios Piliouras, Xiao Wang

Image-to-Image Regression with Distribution-Free Uncertainty Quantification and Applications in Imaging

Anastasios N Angelopoulos, Amit Pal Kohli, Stephen Bates, Michael Jordan, Jitendra Malik

Interactive Correlation Clustering with Existential Cluster Constraints

Rico Angell, Nicholas Monath, Nishant Yadav, Andrew McCallum

Fair and Fast k-Center Clustering for Data Summarization

Haris Angelidakis, Adam Kurpisz, Leon Sering, Rico Zenklusen

Towards Understanding Sharpness-Aware Minimization

Maksym Andriushchenko, Nicolas Flammarion

Set Based Stochastic Subsampling

Bruno Andreis, Seanie Lee, A. Tuan Nguyen, Juho Lee, Eunho Yang

Learning to Hash Robustly, Guaranteed

Alexandr Andoni, Daniel Beaglehole

Online Algorithms with Multiple Predictions

Keerti Anand, Rong Ge, Amit Kumar, Debmalya Panigrahi

On Last-Iterate Convergence Beyond Zero-Sum Games

Ioannis Anagnostides, Ioannis Panageas, Gabriele Farina, Tuomas Sandholm

Public Data-Assisted Mirror Descent for Private Model Training

Ehsan Amid, Arun Ganesh, Rajiv Mathews, Swaroop Ramaswamy, Shuang Song

Scalable First-Order Bayesian Optimization via Structured Automatic Differentiation

Sebastian E Ament, Carla P Gomes

Minimax Classification under Concept Drift with Multidimensional Adaptation and Performance Guarantees

Veronica Alvarez, Santiago Mazuelas, Jose A Lozano

Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval

Uri Alon, Frank Xu, Junxian He, Sudipta Sengupta, Dan Roth

RUMs from Head-to-Head Contests

Matteo Almanza, Flavio Chierichetti, Ravi Kumar, Alessandro Panconesi, Andrew Tomkins

XAI for Transformers: Better Explanations through Conservative Propagation

Ameen Ali, Thomas Schnake, Oliver Eberle, Grégoire Montavon, Klaus-Robert Müller

Structured Stochastic Gradient MCMC

Antonios Alexos, Alex J Boyd, Stephan Mandt

Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer

Lucas Nunes Alegre, Ana Bazzan, Bruno C. da Silva

Deploying Convolutional Networks on Untrusted Platforms Using 2D Holographic Reduced Representations

Mohammad Mahmudul Alam, Edward Raff, Tim Oates, James Holt

A Natural Actor-Critic Framework for Zero-Sum Markov Games

Ahmet Alacaoglu, Luca Viano, Niao He, Volkan Cevher

How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

Ahmed Alaa, Boris van Breugel, Evgeny S. Saveliev, Mihaela van der Schaar

Minimum Cost Intervention Design for Causal Effect Identification

Sina Akbari, Jalal Etesami, Negar Kiyavash

Understanding the unstable convergence of gradient descent

Kwangjun Ahn, Jingzhao Zhang, Suvrit Sra

Individual Preference Stability for Clustering

Saba Ahmadi, Pranjal Awasthi, Samir Khuller, Matthäus Kleindessner, Jamie Morgenstern

On the Convergence of the Shapley Value in Parametric Bayesian Learning Games

Lucas Agussurja, Xinyi Xu, Bryan Kian Hsiang Low

Learning of Cluster-based Feature Importance for Electronic Health Record Time-series

Henrique Aguiar, Mauro Santos, Peter Watkinson, Tingting Zhu

Deep equilibrium networks are sensitive to initialization statistics

Atish Agarwala, Samuel S Schoenholz

Hierarchical Shrinkage: Improving the accuracy and interpretability of tree-based models.

Abhineet Agarwal, Yan Shuo Tan, Omer Ronen, Chandan Singh, Bin Yu

Batched Dueling Bandits

Arpit Agarwal, Rohan Ghuge, viswanath nagarajan

Meaningfully debugging model mistakes using conceptual counterfactual explanations

Abubakar Abid, Mert Yuksekgonul, James Zou

Active Sampling for Min-Max Fairness

Jacob D Abernethy, Pranjal Awasthi, Matthäus Kleindessner, Jamie Morgenstern, Chris Russell

An Initial Alignment between Neural Network and Target is Needed for Gradient Descent to Learn

Emmanuel Abbe, Elisabetta Cornacchia, Jan Hazla, Christopher Marquis

Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning

Momin Abbas, Quan Xiao, Lisha Chen, Pin-Yu Chen, Tianyi Chen

PAC-Bayesian Bounds on Rate-Efficient Classifiers

Alhabib Abbas, Yiannis Andreopoulos