Parikshit Gopalan
- On the Locality of Codeword Symbols
2011/06/18 by Parikshit Gopalan, Cheng Huang, Gopalan, Parikshit +5 · 14 citations
Computer Science · #Advanced Data Storage Technologies #Cooperative Communication and Network Coding #Coding theory and cryptography
- Learning to Route LLMs with Confidence Tokens
2024/10/17 by Yu-Neng Chuang, Chuang, Yu-Neng, Prathusha Kameswara Sarma +11 · 14 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Natural Language Processing Techniques #Open Education and E-Learning #Teaching and Learning Programming
- Loss Minimization Yields Multicalibration for Large Neural Networks
2023/04/19 by Jarosław Błasiok, Błasiok, Jarosław, Parikshit Gopalan +7 · 1 voice · 5 citations
#cs.LG #cs.AI #stat.ML
- Swap Agnostic Learning, or Characterizing Omniprediction via Multicalibration
2023/02/13 by Parikshit Gopalan, Michael P. Kim, Gopalan, Parikshit +3 · 6 citations
Computer Science · #68Q32 #68T05 #Adversarial Robustness in Machine Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Reinforcement Learning in Robotics
- Explicit Maximally Recoverable Codes with Locality
2013/07/16 by Parikshit Gopalan, Cheng Huang, Gopalan, Parikshit +5 · 3 citations
Computer Science · #94B05 #Advanced Data Storage Technologies #Caching and Content Delivery #Distributed systems and fault tolerance #FOS: Computer and information sciences #Information Theory (cs.IT)
- When Does Optimizing a Proper Loss Yield Calibration?
2023/05/30 by Jarosław Błasiok, Parikshit Gopalan, Błasiok, Jarosław +5 · 6 citations
Computer Science · #Adversarial Robustness in Machine Learning #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Data Classification #Statistics Theory (math.ST)
- Pseudorandomness via the discrete Fourier transform
2015/06/14 by Parikshit Gopalan, Gopalan, Parikshit, Daniel M. Kane +3 · 2 citations
Computer Science · #Complexity and Algorithms in Graphs #Computational Complexity (cs.CC) #Cryptography and Data Security #FOS: Computer and information sciences #Quantum Computing Algorithms and Architecture
- Agnostically Learning Single-Index Models using Omnipredictors
2023/06/18 by Aravind Gollakota, Parikshit Gopalan, Gollakota, Aravind +5 · 4 citations
Computer Science · Mathematics · #Advanced Causal Inference Techniques #Data Structures and Algorithms (cs.DS) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
- Maximally Recoverable Codes for Grid-like Topologies
2016/05/18 by Parikshit Gopalan, Guang‐Da Hu, Gopalan, Parikshit +9 · 2 citations
Computer Science · #Advanced Data Storage Technologies #Caching and Content Delivery #Distributed systems and fault tolerance #FOS: Computer and information sciences #Information Theory (cs.IT)
- Omnipredictors for Regression and the Approximate Rank of Convex Functions
2024/01/26 by Parikshit Gopalan, Gopalan, Parikshit, Princewill Okoroafor +7 · 4 citations
Computer Science · #Computational Complexity (cs.CC) #Data Structures and Algorithms (cs.DS) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning and Algorithms #Machine Learning and Data Classification
- Polynomial-Time Approximation Schemes for Knapsack and Related Counting\n Problems using Branching Programs
2010/08/18 by Parikshit Gopalan, Gopalan, Parikshit, Adam R. Klivans +3 · 2 citations
Computer Science · #Machine Learning and Algorithms #Optimization and Search Problems #Algorithms and Data Compression
- Provable Uncertainty Decomposition via Higher-Order Calibration
2024/12/25 by Gustaf Ahdritz, Ahdritz, Gustaf, Aravind Gollakota +7 · 3 citations
Decision Sciences · Engineering · #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Fault Detection and Control Systems #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Probabilistic and Robust Engineering Design #Structural Health Monitoring Techniques