Papers
Strategyproof Mean Estimation from Multiple-Choice Questions
Anson Kahng, Gregory Kehne, Ariel Procaccia
Streaming Coresets for Symmetric Tensor Factorization
Rachit Chhaya, Jayesh Choudhari, Anirban Dasgupta et al.
Streaming k-Submodular Maximization under Noise subject to Size Constraint
Lan Nguyen, My T. Thai
Streaming Submodular Maximization under a k-Set System Constraint
Ran Haba, Ehsan Kazemi, Moran Feldman et al.
Strength from Weakness: Fast Learning Using Weak Supervision
Joshua Robinson, Stefanie Jegelka, Suvrit Sra
Striving for Simplicity and Performance in Off-Policy DRL: Output Normalization and Non-Uniform Sampling
Che Wang, Yanqiu Wu, Quan Vuong et al.
Stronger and Faster Wasserstein Adversarial Attacks
Kaiwen Wu, Allen Wang, Yaoliang Yu
Structural Language Models of Code
Uri Alon, Roy Sadaka, Omer Levy et al.
Structure Adaptive Algorithms for Stochastic Bandits
Rémy Degenne, Han Shao, Wouter Koolen
Structured Linear Contextual Bandits: A Sharp and Geometric Smoothed Analysis
Vidyashankar Sivakumar, Steven Wu, Arindam Banerjee
Structured Policy Iteration for Linear Quadratic Regulator
Youngsuk Park, Ryan Rossi, Zheng Wen et al.
Structured Prediction with Partial Labelling through the Infimum Loss
Vivien Cabannnes, Alessandro Rudi, Francis Bach
Student-Teacher Curriculum Learning via Reinforcement Learning: Predicting Hospital Inpatient Admission Location
Rasheed El-Bouri, David Eyre, Peter Watkinson et al.
Sub-Goal Trees a Framework for Goal-Based Reinforcement Learning
Tom Jurgenson, Or Avner, Edward Groshev et al.
Sub-linear Memory Sketches for Near Neighbor Search on Streaming Data
Benjamin Coleman, Richard Baraniuk, Anshumali Shrivastava
Subspace Fitting Meets Regression: The Effects of Supervision and Orthonormality Constraints on Double Descent of Generalization Errors
Yehuda Dar, Paul Mayer, Lorenzo Luzi et al.
Super-efficiency of automatic differentiation for functions defined as a minimum
Pierre Ablin, Gabriel Peyré, Thomas Moreau
Superpolynomial Lower Bounds for Learning One-Layer Neural Networks using Gradient Descent
Surbhi Goel, Aravind Gollakota, Zhihan Jin et al.
Supervised learning: no loss no cry
Richard Nock, Aditya Menon
Supervised Quantile Normalization for Low Rank Matrix Factorization
Marco Cuturi, Olivier Teboul, Jonathan Niles-Weed et al.
Symbolic Network: Generalized Neural Policies for Relational MDPs
Sankalp Garg, Aniket Bajpai, Mausam
Tails of Lipschitz Triangular Flows
Priyank Jaini, Ivan Kobyzev, Yaoliang Yu et al.
TaskNorm: Rethinking Batch Normalization for Meta-Learning
John Bronskill, Jonathan Gordon, James Requeima et al.
Task-Oriented Active Perception and Planning in Environments with Partially Known Semantics
Mahsa Ghasemi, Erdem Bulgur, Ufuk Topcu