Aarti Singh
- PeerReview4All: Fair and Accurate Reviewer Assignment in Peer Review
2018/06/16 by Ivan Stelmakh, Stelmakh, Ivan, Nihar B. Shah +3 · 1 voice · 13 citations
Economics, Econometrics and Finance · Decision Sciences · #Game Theory and Voting Systems #Auction Theory and Applications #Sports Analytics and Performance
- Gradient Descent Provably Optimizes Over-parameterized Neural Networks
2018/10/04 by Simon S. Du, Xiyu Zhai, Du, Simon S. +5 · 73 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and ELM #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
- Stochastic Zeroth-order Optimization in High Dimensions
2017/10/29 by Yining Wang, Simon S. Du, Wang, Yining +5 · 14 citations
Engineering · Computer Science · Decision Sciences · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Advanced Bandit Algorithms Research
- Data Poisoning Attacks on Factorization-Based Collaborative Filtering
2016/08/29 by Bo Li, Yining Wang, Li, Bo +5 · 11 citations
Computer Science · #Adversarial Robustness in Machine Learning #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Internet Traffic Analysis and Secure E-voting #Machine Learning (cs.LG) #Network Security and Intrusion Detection
- The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
2024/06/03 by Yuda Song, Gokul Swamy, Song, Yuda +7 · 2 voices · 14 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- Preference-based Reinforcement Learning with Finite-Time Guarantees
2020/06/16 by Yichong Xu, Xu, Yichong, Ruosong Wang +7 · 8 citations
Computer Science · Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Reinforcement Learning in Robotics #Smart Grid Energy Management
- Gradient Descent Can Take Exponential Time to Escape Saddle Points
2017/05/29 by Simon S. Du, Du, Simon S., Chi Jin +9 · 6 citations
Computer Science · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Topological and Geometric Data Analysis
- Near-optimal discrete optimization for experimental design: a regret minimization approach
2020/01/10 by Zeyuan Allen-Zhu, Yuanzhi Li, Aarti Singh +1 · 8 citations
Engineering · Computer Science · #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques #Machine Learning and Algorithms
- Near-Optimal Discrete Optimization for Experimental Design: A Regret Minimization Approach
2017/11/14 by Zeyuan Allen-Zhu, Yuanzhi Li, Allen-Zhu, Zeyuan +5 · 6 citations
Computer Science · Engineering · #Computation (stat.CO) #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Sparse and Compressive Sensing Techniques
- A Novice-Reviewer Experiment to Address Scarcity of Qualified Reviewers\n in Large Conferences
2020/11/30 by Ivan Stelmakh, Stelmakh, Ivan, Nihar B. Shah +5 · 5 citations
Computer Science · #Expert finding and Q&A systems #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Software Engineering Research #Topic Modeling
- Signal Recovery on Graphs: Fundamental Limits of Sampling Strategies
2015/12/16 by Siheng Chen, Rohan Varma, Chen, Siheng +5 · 3 citations
Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Internet Traffic Analysis and Secure E-voting
- Noise-adaptive Margin-based Active Learning and Lower Bounds under Tsybakov Noise Condition
2014/06/20 by Yining Wang, Wang, Yining, Aarti Singh +1 · 4 citations
Computer Science · #Algorithms and Data Compression #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning and Data Classification
- On Testing for Biases in Peer Review
2019/12/31 by Ivan Stelmakh, Nihar B. Shah, Stelmakh, Ivan +3 · 6 citations
Computer Science · #Applications (stat.AP) #Expert finding and Q&A systems #FOS: Computer and information sciences #FOS: Mathematics #Methodology (stat.ME) #Statistics Theory (math.ST)
- Smooth Bandit Optimization: Generalization to Hölder Space
2020/12/11 by Yusha Liu, Yining Wang, Liu, Yusha +3 · 3 citations
Computer Science · Decision Sciences · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- How Many Samples are Needed to Estimate a Convolutional or Recurrent\n Neural Network?
2018/05/20 by Simon S. Du, Du, Simon S., Yining Wang +9 · 2 citations
Computer Science · Materials Science · #Adversarial Robustness in Machine Learning #Artificial Intelligence (cs.AI) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning in Materials Science #Neural Networks and Applications #Stochastic Gradient Optimization Techniques
- Active Learning for Graph Neural Networks via Node Feature Propagation
2019/10/16 by Yuexin Wu, Yichong Xu, Wu, Yuexin +7 · 3 citations
Computer Science · Materials Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Machine Learning in Materials Science
- Predicting the Initial Conditions of the Universe using a Deterministic Neural Network
2023/03/23 by Vaibhav Jindal, Albert K. Liang, Jindal, Vaibhav +7 · 2 citations
Physics and Astronomy · #Astronomy and Astrophysical Research #Cosmology and Nongalactic Astrophysics (astro-ph.CO) #FOS: Computer and information sciences #FOS: Physical sciences #Galaxies: Formation, Evolution, Phenomena #Machine Learning (cs.LG) #Stellar, planetary, and galactic studies
- Efficient Sparse Clustering of High-Dimensional Non-spherical Gaussian Mixtures
2014/06/09 by Martin Azizyan, Aarti Singh, Azizyan, Martin +3 · 1 citation
Computer Science · Medicine · Biochemistry, Genetics and Molecular Biology · #Bayesian Methods and Mixture Models #Data-Driven Disease Surveillance #Gene expression and cancer classification
- Signal Representations on Graphs: Tools and Applications
2015/12/16 by Siheng Chen, Chen, Siheng, Rohan Varma +5 · 2 citations
Computer Science · Engineering · Physics and Astronomy · #Advanced Graph Neural Networks #Artificial Intelligence (cs.AI) #Complex Network Analysis Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Smart Grid Security and Resilience #Social and Information Networks (cs.SI)
- Hypothesis Transfer Learning via Transformation Functions
2016/12/03 by Simon S. Du, Jayanth Koushik, Du, Simon Shaolei +5 · 1 citation
Computer Science · #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Gaussian Processes and Bayesian Inference #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- Robust Nonparametric Regression under Huber's ε-contamination Model
2018/05/26 by Simon S. Du, Du, Simon S., Yining Wang +7 · 1 citation
Computer Science · Mathematics · #Adversarial Robustness in Machine Learning #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Methodology (stat.ME) #Statistical Methods and Inference #Statistics Theory (math.ST)
- Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions
2020/06/21 by Charvi Rastogi, Sivaraman Balakrishnan, Rastogi, Charvi +5 · 1 citation
Economics, Econometrics and Finance · Business, Management and Accounting · #Game Theory and Voting Systems #Sports Analytics and Performance #Consumer Market Behavior and Pricing
- Feature Selection For High-Dimensional Clustering
2014/06/09 by Larry Wasserman, Wasserman, Larry, Martin Azizyan +3 · 1 citation
Computer Science · Engineering · Mathematics · #Bayesian Methods and Mixture Models #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (stat.ML) #Sparse and Compressive Sensing Techniques #Statistical Methods and Inference #Statistics Theory (math.ST)
- Adaptation to Misspecified Kernel Regularity in Kernelised Bandits
2023/04/26 by Yusha Liu, Aarti Singh, Liu, Yusha +1 · 1 citation
Decision Sciences · Engineering · #Advanced Bandit Algorithms Research #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME) #Reservoir Engineering and Simulation Methods #Sparse and Compressive Sensing Techniques
- Goodhart's Law Applies to NLP's Explanation Benchmarks
2023/08/28 by Jennifer Hsia, Danish Pruthi, Hsia, Jennifer +5 · 1 citation
Computer Science · Decision Sciences · #Computation and Language (cs.CL) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Scientific Computing and Data Management #Topic Modeling
- Role of Locality and Weight Sharing in Image-Based Tasks: A Sample Complexity Separation between CNNs, LCNs, and FCNs
2024/03/23 by Aakash Lahoti, Stefani Karp, Lahoti, Aakash +7 · 1 citation
Neuroscience · Computer Science · #Brain Tumor Detection and Classification #Advanced Neural Network Applications
- The Virtues of Laziness in Model-based RL: A Unified Objective and Algorithms
2023/03/01 by Anirudh Vemula, Vemula, Anirudh, Yuda Song +7 · 1 citation
Computer Science · Physics and Astronomy · #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning and Data Classification #Model Reduction and Neural Networks #Reinforcement Learning in Robotics #Robotics (cs.RO) #Systems and Control (eess.SY) #electronic engineering #information engineering
- Hybrid Reinforcement Learning from Offline Observation Alone
2024/06/11 by Yuda Song, J. Andrew Bagnell, Song, Yuda +3 · 1 citation
Computer Science · #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural Networks and Applications #Reinforcement Learning in Robotics
- Towards Understanding the Generalization Bias of Two Layer Convolutional Linear Classifiers with Gradient Descent
2018/02/13 by Yifan Wu, Wu, Yifan, Barnabás Póczos +3 · 1 citation
Computer Science · #FOS: Computer and information sciences #Face and Expression Recognition #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Neural Networks and Applications
- Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
2025/02/07 by Ojash Neopane, Neopane, Ojash, Aaditya Ramdas +3 · 1 citation
Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Methodology (stat.ME)