Knowledge (XXG)

John Langford (computer scientist)

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John was the program co-chair for the 2012 International Conference on Machine Learning (ICML), general chair for the 2016 ICML, and is the President of ICML from 2019 to 2021.
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New York, of which he was one of the founding members, and was previously affiliated with Yahoo! Research,
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Proceedings of the 19th international conference on World wide web - WWW '10
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Li, Lihong; Chu, Wei; Langford, John; Schapire, Robert E. (April 26, 2010).
175:"A contextual-bandit approach to personalized news article recommendation" 274: 91: 49: 45: 187: 103: 102:, earning a double bachelor's degree in 1997, and he received his 300:
This biographical article relating to a computer specialist is a
68: 157:"The Epoch-Greedy Algorithm for ContextualMulti-armed Bandits" 87: 229: 71: 305: 155:Langford, John; Zhang, Tong (December 3, 2007). 325: 8: 332: 318: 19:For other people named John Langford, see 351:California Institute of Technology alumni 186: 84:Toyota Technological Institute at Chicago 122: 90:'s Watson Research Center. He studied 64:applications, and learning reductions. 135:"Microsoft Research Debuts N.Y.C. Lab" 7: 290: 288: 128: 126: 228:Langford, John (February 7, 2005). 304:. You can help Knowledge (XXG) by 100:California Institute of Technology 14: 356:Carnegie Mellon University alumni 44:He is well known for work on the 292: 260:"ICML 2016 organizing committee" 74:and the principal developer of 21:John Langford (disambiguation) 1: 245:"ICML 2012 program committee" 56:for nearest neighbor search, 371:Machine learning researchers 366:American computer scientists 230:"The State of the Reduction" 29:(born January 2, 1975) is a 16:American computer scientist 402: 287: 243:Francesco, Figari (2012). 133:Knies, Rob (May 2, 2012). 108:Carnegie Mellon University 67:John is the author of the 18: 386:Computer specialist stubs 106:in Computer Science from 197:10.1145/1772690.1772758 273:Campbell, Lee (2019). 258:Mary, Jérémie (2016). 62:reinforcement learning 60:(which he coined) for 48:embedding algorithm, 376:Microsoft employees 80:Microsoft Research 58:Contextual Bandits 31:computer scientist 313: 312: 275:"ICML 2020 Board" 393: 334: 327: 320: 296: 289: 279: 278: 270: 264: 263: 255: 249: 248: 240: 234: 233: 225: 219: 218: 190: 170: 164: 163: 161: 152: 146: 145: 143: 141: 130: 96:Computer Science 35:machine learning 401: 400: 396: 395: 394: 392: 391: 390: 341: 340: 339: 338: 285: 283: 282: 272: 271: 267: 257: 256: 252: 242: 241: 237: 227: 226: 222: 207: 181:. p. 661. 172: 171: 167: 159: 154: 153: 149: 139: 137: 132: 131: 124: 119: 78:. He works at 39:learning theory 24: 17: 12: 11: 5: 399: 397: 389: 388: 383: 378: 373: 368: 363: 358: 353: 343: 342: 337: 336: 329: 322: 314: 311: 310: 297: 281: 280: 265: 250: 235: 220: 205: 165: 147: 121: 120: 118: 115: 15: 13: 10: 9: 6: 4: 3: 2: 398: 387: 384: 382: 379: 377: 374: 372: 369: 367: 364: 362: 361:Living people 359: 357: 354: 352: 349: 348: 346: 335: 330: 328: 323: 321: 316: 315: 309: 307: 303: 298: 295: 291: 286: 276: 269: 266: 261: 254: 251: 246: 239: 236: 231: 224: 221: 216: 212: 208: 206:9781605587998 202: 198: 194: 189: 184: 180: 176: 169: 166: 158: 151: 148: 136: 129: 127: 123: 116: 114: 111: 109: 105: 101: 97: 93: 89: 85: 81: 77: 76:Vowpal Wabbit 73: 70: 65: 63: 59: 55: 51: 47: 42: 40: 36: 32: 28: 27:John Langford 22: 306:expanding it 299: 284: 268: 253: 238: 223: 178: 168: 150: 138:. Retrieved 112: 66: 52:challenges, 43: 26: 25: 381:1975 births 54:Cover Trees 33:working in 345:Categories 117:References 215:207178795 188:1003.0146 110:in 2002. 72:hunch.net 140:July 18, 98:at the 92:Physics 50:CAPTCHA 213:  203:  86:, and 46:Isomap 211:S2CID 183:arXiv 160:(PDF) 104:Ph.D. 302:stub 201:ISBN 142:2012 94:and 69:blog 37:and 193:doi 88:IBM 347:: 209:. 199:. 191:. 177:. 125:^ 333:e 326:t 319:v 308:. 277:. 262:. 247:. 232:. 217:. 195:: 185:: 162:. 144:. 23:.

Index

John Langford (disambiguation)
computer scientist
machine learning
learning theory
Isomap
CAPTCHA
Cover Trees
Contextual Bandits
reinforcement learning
blog
hunch.net
Vowpal Wabbit
Microsoft Research
Toyota Technological Institute at Chicago
IBM
Physics
Computer Science
California Institute of Technology
Ph.D.
Carnegie Mellon University


"Microsoft Research Debuts N.Y.C. Lab"
"The Epoch-Greedy Algorithm for ContextualMulti-armed Bandits"
"A contextual-bandit approach to personalized news article recommendation"
arXiv
1003.0146
doi
10.1145/1772690.1772758
ISBN

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