ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.07169
  4. Cited By
Forecast Hedging and Calibration

Forecast Hedging and Calibration

13 October 2022
Dean Phillips Foster
S. Hart
ArXiv (abs)PDFHTML

Papers citing "Forecast Hedging and Calibration"

18 / 18 papers shown
Title
In Defense of Defensive Forecasting
In Defense of Defensive Forecasting
Juan Carlos Perdomo
Benjamin Recht
15
0
0
13 Jun 2025
Distribution free M-estimation
Distribution free M-estimation
John C. Duchi
Felipe Areces
16
0
0
28 May 2025
Improved Bounds for Swap Multicalibration and Swap Omniprediction
Improved Bounds for Swap Multicalibration and Swap Omniprediction
Haipeng Luo
Spandan Senapati
Vatsal Sharan
49
0
0
27 May 2025
Simultaneous Swap Regret Minimization via KL-Calibration
Haipeng Luo
Spandan Senapati
Vatsal Sharan
86
4
0
23 Feb 2025
Predict to Minimize Swap Regret for All Payoff-Bounded Tasks
Predict to Minimize Swap Regret for All Payoff-Bounded Tasks
Lunjia Hu
Yifan Wu
99
4
0
21 Apr 2024
The Relative Value of Prediction in Algorithmic Decision Making
The Relative Value of Prediction in Algorithmic Decision Making
Juan C. Perdomo
32
11
0
13 Dec 2023
Classifier Calibration with ROC-Regularized Isotonic Regression
Classifier Calibration with ROC-Regularized Isotonic Regression
Eugene Berta
Francis Bach
Michael I. Jordan
35
9
0
21 Nov 2023
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Smooth ECE: Principled Reliability Diagrams via Kernel Smoothing
Jarosław Błasiok
Preetum Nakkiran
UQCV
110
26
0
21 Sep 2023
U-Calibration: Forecasting for an Unknown Agent
U-Calibration: Forecasting for an Unknown Agent
Robert D. Kleinberg
R. Leme
Jon Schneider
Yifeng Teng
AI4TS
62
26
0
30 Jun 2023
Calibrated Stackelberg Games: Learning Optimal Commitments Against
  Calibrated Agents
Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Nika Haghtalab
Chara Podimata
Kunhe Yang
84
26
0
05 Jun 2023
Online Platt Scaling with Calibeating
Online Platt Scaling with Calibeating
Chirag Gupta
Aaditya Ramdas
53
5
0
28 Apr 2023
A Unifying Theory of Distance from Calibration
A Unifying Theory of Distance from Calibration
Jarosław Błasiok
Parikshit Gopalan
Lunjia Hu
Preetum Nakkiran
98
41
0
30 Nov 2022
Calibrated Forecasts: The Minimax Proof
Calibrated Forecasts: The Minimax Proof
S. Hart
AI4TS
28
25
0
13 Sep 2022
"Calibeating": Beating Forecasters at Their Own Game
"Calibeating": Beating Forecasters at Their Own Game
Dean Phillips Foster
S. Hart
51
14
0
11 Sep 2022
Practical Adversarial Multivalid Conformal Prediction
Practical Adversarial Multivalid Conformal Prediction
Osbert Bastani
Varun Gupta
Christopher Jung
Georgy Noarov
Ramya Ramalingam
Aaron Roth
201
56
0
02 Jun 2022
Faster online calibration without randomization: interval forecasts and
  the power of two choices
Faster online calibration without randomization: interval forecasts and the power of two choices
Chirag Gupta
Aaditya Ramdas
56
4
0
27 Apr 2022
Online Multivalid Learning: Means, Moments, and Prediction Intervals
Online Multivalid Learning: Means, Moments, and Prediction Intervals
Varun Gupta
Christopher Jung
Georgy Noarov
Mallesh M. Pai
Aaron Roth
102
44
0
05 Jan 2021
Stronger Calibration Lower Bounds via Sidestepping
Stronger Calibration Lower Bounds via Sidestepping
Mingda Qiao
Gregory Valiant
100
24
0
07 Dec 2020
1